AI in Psychiatry

Started by PsyDr
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Bigger question: have we actually tried to teach AI to read EKGs?

Because the software that's built into the EKG machines is absolutely not AI.
Good question. Looks like it’s been a research topic since at least 2023, but nothing at scale has come out yet to my knowledge. My guess is that it is either marginally better than physicians and hospitals would rather just have a actual human writing their signature their (probably for liability purposes) or it is marginally better but much more expensive.
 
Why not equivalent and much cheaper?
 
Here's a recent stab at this from the journal of the American Heart Association:


Interestingly when given history they do manage to perform at about the same level as ED physicians, although not as well as a cardiologist. It is perhaps useful to note that these are off-the-shelf LLMs with no particular training in reading ECGs, and the authors note this themselves. Remember, the LLM stands for "language model", it is kind of remarkable that a chunk of code designed to output text from text can look at a specialized medical image and perform anything close to this well right out of the box. Whereas of course cardiologists have spent multiple years receiving specific training in reading ECGs (among other things).

Can also make the caveat that the particular models they used were behind the frontier well before November 2025 so newer models almost certainly do better. In particular, 4o-mini and Flash 2.5 are not Thinking models and I would be shocked if having a CoT didn't improve accuracy substantially, especially in the clinical context. Basically, the models that are proving theorems in mathematics are of a functionally different class than the ones they tested on these EKGs.
 
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EKGs routinely misinterpret QTc in patients with abnormal rhythms, especially if there are very small or very wide T waves. I see automated reads of QTc actually measuring the QP interval and completely missing the T wave far more often than it should. You'd think this wouldn't be an issue at this point, but on C/L I find myself recalculating the QTc myself far more often than I'd like. If nothing else it gets me a point for medical complexity when I'm billing.
Now what if the automated EKG was recognized as an independent provider, with their own NPI?
 
The company who develops and sells the technology carries the liability, same as with the prescribing system in Utah in the OP's post. As much as a plaintiff's attorney might wish otherwise, malpractice requires a deviation from the community standard at a minimum. That is almost definitionally impossible in these situations since the AI is built to literally follow the community standard and, eventually, will be the one defining it.
 
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The company who develops and sells the technology carries the liability, same as with the prescribing system in Utah in the OP's post. As much as a plaintiff's attorney might wish otherwise, malpractice requires a deviation from the community standard at a minimum. That is almost definitionally impossible in these situations since the AI is built to literally follow the community standard and, eventually, will be the one defining it.
Yes and no. It completely depends on how you're defining "deviation from the community standard", and any lawyer worth anything could easily punch a hole through your argument if an AI misses something major that leads to harm. Misreading an EKG would be a "deviation from the community standard" if it is something that should be caught. If your argument is that AI will be so perfect that a misread is impossible then I'd argue AI should be reading every EKG, but that's not what I'm talking about.

We'll see how the bolded goes in court. AI bots are already convincing people to kill themselves and cases have been brought against the companies. I imagine we'll probably have precedent about the culpability of AI and/or the companies developing the programs in the next 2-3 years. If AI truly is as good or better than physicians, insurance companies will jump on the bandwagon to support this rapidly. If not, I don't think major carriers are going to touch this with a 50 foot pole unless states pass tort reform for AI.

Either way, I don't see anything different than what's already been discussed. Those who are doing the 5-minute outpatient med checks and seeing low-acuity patients are the most prone to being replaced. Those of us working in higher acuity settings, doing therapy, or providing specialized care in areas where there is no ideal standard will continue to be fine, at least for the foreseeable future. If we're not, most of white collar society will already be screwed.
 
Who carries the liability when something goes wrong? Until this is answered I think this will continue to be my biggest question regarding any kind of AI administered healthcare.
The preferred argument is that AI should be federally recognized as an independent provider, but that there is no liability because the AI standard of care is something else.

People seem to be conflating "AI as a tool" with "AI as a provider". One is barely an issue, one is a huge problem.
 
AI will beat humans at telling us the most probable approach, on average, to optimize for best outcomes given vignettes and a pile of data. Feed it 100,000 charts it will beat psychiatrists on predicting suicide already is my guess. These are areas where AI has an edge. It is limited severely by lack of access to primary data, especially in psychiatry, so it will be a while before it can avoid the atrocious amount of slop inputs in psychiatry. Slop is the biggest limiter for AI currently in my opinion - and psychiatry in all of medicine given its subjective recounting, interpretation, and recording of information has the largest slop factor compared to other fields with "harder" data.

However, Psychiatry in its best form is more art than science - more human touch and less hard numbers. AI will likely beat uninformed med management practitioners if given primary source info - and if that's all they are doing then yes they will be replaced. If you do only med management - your value is pretty low anyway, and yes AI is coming for your job (and soon). However a data-informed psychiatrist who is also good at the art of psychiatry will beat AI indefinitely. And any run of the mill practitioner who uses AI to inform them, and still apply the human touch will outperform AI alone indefinitely. In the long run, AI will be an asset to - not competitor of - psychiatrists. It will act to extend our reach further, increase our efficiency, and allow us to provide more expertise to more humans. I have already used AI significantly to reduce my time consumed by time-intensive, low-intelligence-required busywork. In no way are these LLMs replacing psychiatrists or threatening my salary until it has replaced and completely changed the economy of the planet to such an extent that we have bigger things to worry about than our jobs.



The fact that frontier LLMs are capable of independently solving novel and previously unsolved mathematical theorems, extensively programming large code bases with limited human supervision, and acting as agentic problem solvers in a wide range of domains rather belies this. They may train on the data of the Internet but to conceptualize them as a fancy Google search is a a fundamental misunderstanding of the technology. Something more complicated and interesting is going on.
 
AI will beat humans at telling us the most probable approach, on average, to optimize for best outcomes given vignettes and a pile of data. Feed it 100,000 charts it will beat psychiatrists on predicting suicide already is my guess. These are areas where AI has an edge. It is limited severely by lack of access to primary data, especially in psychiatry, so it will be a while before it can avoid the atrocious amount of slop inputs in psychiatry. Slop is the biggest limiter for AI currently in my opinion - and psychiatry in all of medicine given its subjective recounting, interpretation, and recording of information has the largest slop factor compared to other fields with "harder" data.

Right like this would be an incredible use of AI if it's accurate. These are the kinds of things it would actually be helpful for since it can analyze non-standardized data like progress notes to look at history, presentation and outcomes.

Being able synthesize huge amounts of information on patients and outcomes on a population level and give me some concrete probability like "this person has a 40% probability of a suicide attempt in the next 7 days vs baseline population and this is elevated over their baseline probability of <1% on prior followup appointments" would be awesome if accurate.

This is also why specialized AI models are likely coming for diagnostic radiology's lunch way faster if regulations start allowing it. How many radiologists (especially attendings) do you know who actually follow up on their reads to see if they're actually accurate or what the final diagnosis ended up being unless it's a particularly interesting case? How many radiologists actually look at the relevant clinical information before they do a read? There's no patient contact outside of which you can extract from EMR notes anyway. All of the information needed is already digitized right now, it just needs to be processed and reviewed for accuracy over time.

If you can now train a model on images, relevant clinical information and outcomes it can actually spit out something like "there is a 99% probability that this consolidation represents a lobar pneumonia" which is way more helpful than "likely consolidation in left lower lobe".
 
Right like this would be an incredible use of AI if it's accurate. These are the kinds of things it would actually be helpful for since it can analyze non-standardized data like progress notes to look at history, presentation and outcomes.

Being able synthesize huge amounts of information on patients and outcomes on a population level and give me some concrete probability like "this person has a 40% probability of a suicide attempt in the next 7 days vs baseline population and this is elevated over their baseline probability of <1% on prior followup appointments" would be awesome if accurate.

This is also why specialized AI models are likely coming for diagnostic radiology's lunch way faster if regulations start allowing it. How many radiologists (especially attendings) do you know who actually follow up on their reads to see if they're actually accurate or what the final diagnosis ended up being unless it's a particularly interesting case? How many radiologists actually look at the relevant clinical information before they do a read? There's no patient contact outside of which you can extract from EMR notes anyway. All of the information needed is already digitized right now, it just needs to be processed and reviewed for accuracy over time.

If you can now train a model on images, relevant clinical information and outcomes it can actually spit out something like "there is a 99% probability that this consolidation represents a lobar pneumonia" which is way more helpful than "likely consolidation in left lower lobe".
This is exactly my sense. Psychiatry is far, far from being replaced compared to other fields. Radiology has such "hard data" and almost no soft data - with predominantly zero human touch. This is a field ripe for a true 1 for 1 replacement in the long run. Rads can pivot to IR more and keep their jobs. Pathology is going to keep working because AI isn't slicing brains or actually doing the biopsy, staining, running labs and prepping slides. Most other fields with human touch will have a harder time being replaced since AI isn't performing physical exams for primary data. Some fields, like surgery, also have such a high barrier for AI to get primary data that they will likely be replaced last. By the time surgery is replaced - no one will have a job on the planet except politicians, artists, philosophers, and priests.
 
My whole argument is that liability won't slow or affect this. It didn't slow independent practice of NPs and it certainly won't be slowing AI. Meta and Google have a heck of a lot better lawyers (and lobbyists too) than the average NP hanging up their own shingle. Other things might, but not liability. I do not believe that the current suicide lawsuits will have anything resembling an effect on the overall AI marketplace, certainly in the US, but even the larger world most likely.
 
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My whole argument is that liability won't slow or affect this. It didn't slow independent practice of NPs and it certainly won't be slowing AI. Meta and Google have a heck of a lot better lawyers (and lobbyists too) than the average NP hanging up their own shingle. Other things might, but not liability. I do not believe that the current suicide lawsuits will have anything resembling an effect on the overall AI marketplace, certainly in the US, but even the larger world most likely.
Agreed. Maybe individual practitioners will get hit with lawsuits for over-relying on AI, but AI as a whole is not going to get derailed because of malpractice fear.

And psychiatrists are really burying their heads in the sand when it comes to capability of AI. The latest AI models are already better than most therapists when it comes to therapy. When it comes to medicine, OpenAI is blowing physicians out of the water in terms of depth and breadth. It's already replaced UpToDate for many IM and EM doctors I know. I have a friend who's a pathologist and had a slide that was stumping him that only got diagnosed after getting input from two senior pathologists at a different institution. Afterwards, he uploaded the slide to a HIPAA compliant AI (which are usually a model or three behind the latest AI models) and that resulted in the same diagnosis.

Only real thing we have going for us is inertia. That can only carry forward so long. Medicine is going to be one of the fields most affected by AI (probably for the best when it comes to outcomes, not so much for the best when it comes to job security and income for us).
 
Agreed. Maybe individual practitioners will get hit with lawsuits for over-relying on AI, but AI as a whole is not going to get derailed because of malpractice fear.

And psychiatrists are really burying their heads in the sand when it comes to capability of AI. The latest AI models are already better than most therapists when it comes to therapy. When it comes to medicine, OpenAI is blowing physicians out of the water in terms of depth and breadth. It's already replaced UpToDate for many IM and EM doctors I know. I have a friend who's a pathologist and had a slide that was stumping him that only got diagnosed after getting input from two senior pathologists at a different institution. Afterwards, he uploaded the slide to a HIPAA compliant AI (which are usually a model or three behind the latest AI models) and that resulted in the same diagnosis.

Only real thing we have going for us is inertia. That can only carry forward so long. Medicine is going to be one of the fields most affected by AI (probably for the best when it comes to outcomes, not so much for the best when it comes to job security and income for us).
This does not match the data I have seen at all. They ran OpenAI, Claude, and Gemini (and I believe a 4th) through adult and child psych board exams and the best performances were just barely passing adult boards and below passing for child boards (where they do significantly worse). It's a far cry from "blowing physicians out of the water". I am sure the scores will improve, but the limits of having good data to enter and refine the models is a bigger hurdle than $37265861723 data center. This is supported by all the models making about 50% more errors on child psych than adult psych with less information to train on.

Certainly, path/rads will face much quicker influence from this technology than patient facing fields. I would not want to be heading into rads as a med student right now, but this is a psychiatry forum...
 
This does not match the data I have seen at all. They ran OpenAI, Claude, and Gemini (and I believe a 4th) through adult and child psych board exams and the best performances were just barely passing adult boards and below passing for child boards (where they do significantly worse).

This hasn't been true in a long time:



It's a far cry from "blowing physicians out of the water". I am sure the scores will improve, but the limits of having good data to enter and refine the models is a bigger hurdle than $37265861723 data center. This is supported by all the models making about 50% more errors on child psych than adult psych with less information to train on.

Certainly, path/rads will face much quicker influence from this technology than patient facing fields. I would not want to be heading into rads as a med student right now, but this is a psychiatry forum...
 
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AI sycophants overvalue the relevance of passing board exams.

Passing board exams "more" does not translate to being a better practitioner. Scoring higher on an exam just means you can access better larger data inputs to answer better MCQ-style data outputs. This has almost no relevance to what it means to be a better psychiatrist. These AI 'scholars' are making the same mistake conflating neurology test scores with "...significant applications in clinical neurology and health care." At least in their conclusion they came to reasonable logic, stating "...potential applications in clinical settings include documentation and decision-making support systems as well as educational tools."

How many of your patients are test questions? How many of your patients have a single diagnosis? The majority of the board exam is irrelevant to practice. Most of my patients have multiple diagnosis at once and there are no datasets informing how to practice in the polydiagnosis landscape of actual psychiatry that requires higher order thinking, creativity, and human factor. Being an expert and actually using AI in clinical practice; the limitations of what AI will be able to do are obvious. If it keeps getting better at what it is doing, it will remain a useful tool - not a replacement. I am sure we will have a "suicide risk score" calculator soon using AI. This is an obvious and excellent application area for AI to make psychiatry better - not replace psychiatry. Harnessing huge data at an individual patient level to gather useful information will be a boon to psychiatric practice and make experts better and more efficient. They will however need to make sure AI doesn't hallucinate the data, which will be hard to do with individual patients and huge EMR records - we wouldn't have time to validate each claim made. So eventually I think we'd have to consider AI-gathered data much like we consider the MSE - useful, informative... yet not law.

I also scoff at the idea of AI being "good" at therapy. Yes, and my AI wife is "good" at being married with me. What an irrelevant and obtuse application of AI technology - to the detriment of mankind.

And psychiatrists are really burying their heads in the sand when it comes to capability of AI.
 
The preferred argument is that AI should be federally recognized as an independent provider, but that there is no liability because the AI standard of care is something else.

People seem to be conflating "AI as a tool" with "AI as a provider". One is barely an issue, one is a huge problem.
Idk that we are, at least not from the liability standpoint. AI as a tool, the one using the tool is liable. AI as a provider...the AI is liable? The hospital or office the AI is based out of is liable? The company that created or maintains the AI is liable? If AI is practicing medicine, then there's already a standard of care. I would argue that this doesn't just disappear because it's AI vs a real human, but who knows?

My whole argument is that liability won't slow or affect this. It didn't slow independent practice of NPs and it certainly won't be slowing AI. Meta and Google have a heck of a lot better lawyers (and lobbyists too) than the average NP hanging up their own shingle. Other things might, but not liability. I do not believe that the current suicide lawsuits will have anything resembling an effect on the overall AI marketplace, certainly in the US, but even the larger world most likely.
Maybe? Independent practice of NPs has slowed significantly where I'm at, and I'm in a state with FPA where I've noticed the slowing has taken place AFTER gaining FPA. Many nurses have realized being an independent doctor isn't the land of milk and honey they thought it would be. Admittedly, it's not the legal aspect that slowed things down, it was the practical one here, so you may be right there.

As for the suicide lawsuits, it could if the AI companies are found liable and the plaintiffs are awarded full payouts (some being 8 figures I believe). If for no other reason it would make insurance carriers have major reservations about providing coverage to AI. Again, who knows though. 25 years ago the internet was going to destory entire industries. Many transformed but idk any that have collapsed in the way some people predicted. I imagine it will likely be similar for AI, but again, who knows?
 
The latest AI models are already better than most therapists when it comes to therapy.
So are self-help books. And dogs. And a rock with a face painted on it. The bar for accomplishing this is pathetically low. I could descend into hell and I'd still have to go down another few levels to find it. Considering many therapists don't actually practice therapy, this isn't really something I'm concerned about.
 
Serious question: Do those of you arguing against the idea that AI will replace doctors in the fairly near future (5-15 years) truly believe that, or is it a deeply held aversion to the idea and then you develop arguments to back up the emotion?
The EKG argument is sort of like saying “my computer malfunctions at times, so certainly we will never send a person to space.” And as already mentioned, EKG machines do not have any AI currently.
Also, arguing that the current AI is not ready to be a medical practitioner says absolutely nothing about what AI in 5-15 years will be able to do.
Someone mentioned midlevels. They are one step above the average person on the street and look at how much they have achieved at infiltrating the medical field and even practicing independently in not-so-smart states. If an NP is allowed to start a teenager with OCD on olanzapine monotherapy (fully believing the diagnosis to be schizophrenia) and cause her to gain significant weight with no clinical benefit (one of many many true stories unfortunately), then what is the standard for AI? If midlevels can do it, AI absolutely can.
 
AI models do very well with knowledge but as far as I'm aware, even though they have excellent memory and of course language and mathematical skills, overall they perform in the mild cognitive impairment or even dementia range on cognitive tests. They have poor social cognitive and significant problems with executive functions, visuospatial functioning. The newer models are even more annoying than the newer ones and struggle with complex, sequenced tasks, abstraction, perceptual reasoning, set-shifting, and error awareness. The latter is probably important in terms of the hallucinations. It doesn't realize it's made shìt up until you call it out.
 
Serious question: Do those of you arguing against the idea that AI will replace doctors in the fairly near future (5-15 years) truly believe that, or is it a deeply held aversion to the idea and then you develop arguments to back up the emotion?
How long ago was it that we were promised self-driving cars? I remember reading about how the trucking industry and taxi/Uber industry would be wiped away. But that hasn't happened yet.

AI certainly has a lot to promise us, but I just haven't seen enough yet to have a reason to think our jobs are going away so soon. There's still a lot we don't know about what its capabilities and limitations are. There are also a lot of other jobs I imagine would be gone first before medicine, and those jobs still exist. I feel it likely that AI will do more to enhance the work we do instead of placing us.

I will also liken this back to the concerns about mid-levels. I've stated on here before that there are threads on SDN going back more than 10 years talking about how this is the end of doctors. But, salaries have increased since then, not decreased. At some point, those claiming that this profession is done may eventually be right, but I don't know why I should believe that specifically now they have it right.
 
There are fully self driving cars, literally thousands of them in current commercial operation in specific cities. I think it's a fair comparison to AI and medicine for good and ill. Same liability situation too, the companies are liable and not a huge barrier.
 
There are fully self driving cars, literally thousands of them in current commercial operation in specific cities. I think it's a fair comparison to AI and medicine for good and ill. Same liability situation too, the companies are liable and not a huge barrier.
Are you just referring to Waymo? If so they're still pilot projects in only 5 cities and there are still some very major barriers (like inclement weather cities, which they are in zero). They've also already had to recall their fleets in several cities last year (Austin and Atlanta at least) because the software wasn't recognizing school buses and were passing them while the stop signs were out and kids were exiting. As of this month, this still hasn't been fixed. Georgia politicians are already looking at filing more restrictive legislation and and liability law proactively due to incidents in Atlanta. If they're analogous, we're going to see similar problems with medical expansion of AI, which I would expect anyway.
 
Serious question: Do those of you arguing against the idea that AI will replace doctors in the fairly near future (5-15 years) truly believe that, or is it a deeply held aversion to the idea and then you develop arguments to back up the emotion?
The EKG argument is sort of like saying “my computer malfunctions at times, so certainly we will never send a person to space.” And as already mentioned, EKG machines do not have any AI currently.
Also, arguing that the current AI is not ready to be a medical practitioner says absolutely nothing about what AI in 5-15 years will be able to do.
Someone mentioned midlevels. They are one step above the average person on the street and look at how much they have achieved at infiltrating the medical field and even practicing independently in not-so-smart states. If an NP is allowed to start a teenager with OCD on olanzapine monotherapy (fully believing the diagnosis to be schizophrenia) and cause her to gain significant weight with no clinical benefit (one of many many true stories unfortunately), then what is the standard for AI? If midlevels can do it, AI absolutely can.
I am 1000% confident that we will not be replaced in the next 10 years and imo thinking otherwise is borderline delusional, but I think this also depends on how you're using the word "replace". Do I think it's possible that some doctors (likely PCPs) will get forced out of their current employment due to AI making things more efficient or even treating basic patients? Sure. Do I think doctors are going to be replaced en masse by AI in the next 5-10 years, absolutely not.

As I've said before, I think those fear-mongering about AI taking over fail to understand the monolith that is The Bureaucracy in medicine and politics and just how massive the unified societal force to overcome this inertia would be. For a similar example, just look at the internet or even more specifically Amazon. I remember around 2000 people were saying that within years there would be no more books, schools would all be online because we'd be able to learn anything at the push of a button, and entire industries would be wiped out because of automation. 20-25 years later almost none of that has happened. When Amazon expanded into selling everything under the sun everyone was bemoaning the end of companies with physical locations, but that didn't happen. Many adapted and added online capabilities, but most companies still have physical stores as well. Some did go out of business (like Radioshack or Borders) but most either adapted or evolved (like Sears closing their department stores and shifting to focusing on appliances).

I think AI is going to be similar to the above. A great tool that is largely a helpful middle man that leads to a variety of advancements, some probably in ways we haven't even thought of yet (legitimate "precision medicine" maybe?). I think it will significantly alter how we practice medicine likely due to the massive processing power and pattern recognition. I'm sure that there may be certain fields or physicians who practice in a specific setting or style ("Hello. Goodbye." 5 minute med check) who may be pushed out or will have to dramatically change how they practice, but do I think AI is going to replace us in the next 10 years? No. Further than that like 25+ years from now? Who knows, but if I had to put my money down I'd guess we will ALWAYS have physicians even if how we practice medicine and what we actually do may very well look nothing like medicine now though.

I think what a lot of people are also forgetting is there is a huge human component to medicine and working with people at their most vulnerable that is completely ignored or just not understood by the pro-AI, PE, tech bro grifter-types. I cannot tell you how many patients are grateful just to have an actual human listen to them and provide decent bedside manner when they feel isolated and vulnerable. Maybe when Gen Z and younger grow up this won't be valued, but Gen Y and older (and I think millennials are valuing this more as we age too) don't want a computer to comfort them, they want a human. If for no other reason I think that will protect psychiatrists who do more than just med management for at least the next decade or two.

/Essay

Tl;dr AI will lead to major changes in how we practice medicine, but it's going to take more than 10 years for society to allow it and likely won't ever completely replace physicians.
 
I will also liken this back to the concerns about mid-levels. I've stated on here before that there are threads on SDN going back more than 10 years talking about how this is the end of doctors. But, salaries have increased since then, not decreased. At some point, those claiming that this profession is done may eventually be right, but I don't know why I should believe that specifically now they have it right.
I would argue that you are downplaying the negative effects midlevels have had. Salaries might be up over the past 10 years, but from what I have seen they have very much plateaued or even gone down slightly over the past 2-3 years. Degree mills are pumping out more and more NPs each year. I know of at least 3 or 4 psych NPs around here who cannot find jobs as providers and are working RN jobs. There are a number of provider positions being filled with midlevels now that would have been filled by a psychiatrist 10+ years ago. Not only does this impact salaries, but it impacts how we are treated in the work environment, as employers know they can replace us fairly easily, even if it is with lower quality.

And the quality of care of course is a huge issue. As I said in my last message, that terrible situation with the young teenage girl and poor NP care is but one of hundreds of terrible stories I could share. I would truly like to know why midlevel care can be mediocre at best but we are demanding that AI care be almost perfect before it can be implemented.
 
That's for neurology. Psychiatry was 80% for adults, 70% for CAP (roughly), this was just presented at AACAP 3 months ago.

You're right, I posted the wrong link. This is more directly relevant:


Worth noting that in this study the particular sample of questions they used is known to have a roughly 79% correct rate as taken by human psychiatrists preparing for boards exams.
 
Are you just referring to Waymo? If so they're still pilot projects in only 5 cities and there are still some very major barriers (like inclement weather cities, which they are in zero). They've also already had to recall their fleets in several cities last year (Austin and Atlanta at least) because the software wasn't recognizing school buses and were passing them while the stop signs were out and kids were exiting. As of this month, this still hasn't been fixed. Georgia politicians are already looking at filing more restrictive legislation and and liability law proactively due to incidents in Atlanta. If they're analogous, we're going to see similar problems with medical expansion of AI, which I would expect anyway.

They are in no sense a pilot project at this point in CA, although I take your point about inclement weather. They are expanding extremely rapidly:


It definitely isn't a perfect technology, but the statistics are pretty clear. They are dramatically safer and less likely to be involved in accidents, fatal or otherwise, than the average human driver. If we were deciding things purely as a safety issue, we'd be trying to figure out how to make all cars self-driving as fast as possible.

Edit:

For those who have access to the NYTimes, a neurosurgeon makes the same point.

Opinion | The Data on Self-Driving Cars Is Clear. We Have to Change Course.

If we could make this magnitude of improvements across the entire American automotive fleet we would basically eliminate motor vehicle accidents as a major cause of death in the US.
 
As I've said before, I think those fear-mongering about AI taking over...
I have heard others on here also refer to what we are discussing as "fear mongering". Why do you use this term? AI taking over is not something to fear or be upset about. Quite to the contrary, it is very exciting and could potentially lead to a much better quality of life. Perhaps "euphoria mongering"?
 
I have heard others on here also refer to what we are discussing as "fear mongering". Why do you use this term? AI taking over is not something to fear or be upset about. Quite to the contrary, it is very exciting and could potentially lead to a much better quality of life. Perhaps "euphoria mongering"?

Euphoria for who though? It seems the benefits are pretty much going to go to whichever tech titans make the best systems, not to the people being replaced (presuming some replacement/displacement eventually happens).
 
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They are in no sense a pilot project at this point in CA, although I take your point about inclement weather. They are expanding extremely rapidly:


It definitely isn't a perfect technology, but the statistics are pretty clear. They are dramatically safer and less likely to be involved in accidents, fatal or otherwise, than the average human driver. If we were deciding things purely as a safety issue, we'd be trying to figure out how to make all cars self-driving as fast as possible.

Edit:

For those who have access to the NYTimes, a neurosurgeon makes the same point.

Opinion | The Data on Self-Driving Cars Is Clear. We Have to Change Course.

If we could make this magnitude of improvements across the entire American automotive fleet we would basically eliminate motor vehicle accidents as a major cause of death in the US.
Maybe they're big in SF/LA, but my understanding is that in the other cities (Austin, Atlanta, Miami), it's still a pilot phase that's hitting some major hurdles (though the way people in Miami drive anything to replace them is probably an improvement). I'm also not saying that AI is worse than people driving. I've actually talked to friends about how even the early Tesla self-driving cars were much safer. The problems are optics and social inertia. I remember when it looked like Tesla was going to get the next stages approved but a single major highway accident completely derailed the project and set it back years because of the media response. One kid runs out from in front of the stopped school bus and there goes Waymo. It's how Ryan Haight got implemented, it's how residency hour limits got implemented, it's how Tesla's self-driving program got set back. Spook the wrong person and the whole movement will come to a halt.

I'm not saying that will happen or that it should, but to go along with what I'm saying self-driving cars have been on the road for decades (literally) and they're just hitting a point were they're becoming relevant on a larger scale. By some people's logic there shouldn't be any taxis left at thigs point let alone human drivers, but here we are.
 
I have heard others on here also refer to what we are discussing as "fear mongering". Why do you use this term? AI taking over is not something to fear or be upset about. Quite to the contrary, it is very exciting and could potentially lead to a much better quality of life. Perhaps "euphoria mongering"?
So I'll quote my questions to you from another thread because you seem to have very different opinions on what a future run by AI looks like:

So let's take this out to the endgame then. When most all jobs are replaced by AI what do you think humans will do? Do you think the gov is just going to subsidize everything to people so we can live in a society where we do nothing or do you think we'll see mass homelessness and a spiral into dystopia? What do you see as the outcome here? Or have you just not thought about the basic frameworks of society and the requirement of working classes for societies to exist? These are very basic common sense sociology topics that silicon valley types seem to blow off as an afterthought or completely lack comprehension of while chasing the next project.

Why do you want this to happen? You may be financially well off enough to weather the collapse of working society, but how do you think most people will respond to having no income? How about Gen Z and Gen Alpha? They just going to be batteries for the Matrix, lol? Again, what do you think the near complete implementation of AI leads to? I'm legitimately curious how you (and others) envision what you're hoping for going well.

This was in response to posts by you about how you want AI to take over and think it's going to replace almost every job out there (menial and higher order jobs like physicians alike). I asked specifically how you thought this would turn out more than once and you kept side stepping the questions. I cut out the other parts of the post about CAP and schools that you answered. So, I'm trying to be direct because I'm baffled by your enthusiasm regarding what you describe as a total AI takeover. Why do you think AI is going to create such a great society? How do you think people will make a living or survive when they don't have jobs? What will the role of humans even be in such a society? I'm genuinely curious what you think this path is going to look like.
 
I am 1000% confident that we will not be replaced in the next 10 years and imo thinking otherwise is borderline delusional, but I think this also depends on how you're using the word "replace". Do I think it's possible that some doctors (likely PCPs) will get forced out of their current employment due to AI making things more efficient or even treating basic patients? Sure. Do I think doctors are going to be replaced en masse by AI in the next 5-10 years, absolutely not.

As I've said before, I think those fear-mongering about AI taking over fail to understand the monolith that is The Bureaucracy in medicine and politics and just how massive the unified societal force to overcome this inertia would be. For a similar example, just look at the internet or even more specifically Amazon. I remember around 2000 people were saying that within years there would be no more books, schools would all be online because we'd be able to learn anything at the push of a button, and entire industries would be wiped out because of automation. 20-25 years later almost none of that has happened. When Amazon expanded into selling everything under the sun everyone was bemoaning the end of companies with physical locations, but that didn't happen. Many adapted and added online capabilities, but most companies still have physical stores as well. Some did go out of business (like Radioshack or Borders) but most either adapted or evolved (like Sears closing their department stores and shifting to focusing on appliances).

I think AI is going to be similar to the above. A great tool that is largely a helpful middle man that leads to a variety of advancements, some probably in ways we haven't even thought of yet (legitimate "precision medicine" maybe?). I think it will significantly alter how we practice medicine likely due to the massive processing power and pattern recognition. I'm sure that there may be certain fields or physicians who practice in a specific setting or style ("Hello. Goodbye." 5 minute med check) who may be pushed out or will have to dramatically change how they practice, but do I think AI is going to replace us in the next 10 years? No. Further than that like 25+ years from now? Who knows, but if I had to put my money down I'd guess we will ALWAYS have physicians even if how we practice medicine and what we actually do may very well look nothing like medicine now though.

I think what a lot of people are also forgetting is there is a huge human component to medicine and working with people at their most vulnerable that is completely ignored or just not understood by the pro-AI, PE, tech bro grifter-types. I cannot tell you how many patients are grateful just to have an actual human listen to them and provide decent bedside manner when they feel isolated and vulnerable. Maybe when Gen Z and younger grow up this won't be valued, but Gen Y and older (and I think millennials are valuing this more as we age too) don't want a computer to comfort them, they want a human. If for no other reason I think that will protect psychiatrists who do more than just med management for at least the next decade or two.

/Essay

Tl;dr AI will lead to major changes in how we practice medicine, but it's going to take more than 10 years for society to allow it and likely won't ever completely replace physicians.
The US is growing faster than we can train PCPs despite and explosion in FM residencies and a decent increase in IM ones. Even if AI makes me more efficient, it would have to basically triple my productivity before jobs start going away.

Now if it actually did a decent job on my chart messages, that I could get behind. But, the suggestions it gives me that are AI generated to patient messages are god-awful.
 
I have heard others on here also refer to what we are discussing as "fear mongering". Why do you use this term? AI taking over is not something to fear or be upset about. Quite to the contrary, it is very exciting and could potentially lead to a much better quality of life. Perhaps "euphoria mongering"?
I enjoyed that same premise in Herbert Spencer's writings about the industrial revolution. We're all drowning in leisure time since the industrial revolution happened.
 
I would say replace is overkill. In the worst case 5-10 year timeline i can see private insurance offering like get your refills from our AI bot type of set ups that will encourage pretty stable patients or ones that want to save a buck from bypassing follow ups.

Again, you may not have those easy follow ups that balance out the more diffcult and time consuming ones. I would not want 15-20 pts a day who are all unstabe day in an day out. Thats what I think may happen though.
 
The above is what's happening in other fields like coding. The work is definitely still there, but it's harder and it's more draining.
 
The above is what's happening in other fields like coding. The work is definitely still there, but it's harder and it's more draining.
This is a great point that I had not thought much about before. Basically if the easier work is handled for you and you are "freed up" to do only the most difficult work, the day would feel a lot less balanced and burnout would be more likely. Imagine a day of only borderline PD patients in crisis, clozapine patients who are decompensating, etc.
 
This is a great point that I had not thought much about before. Basically if the easier work is handled for you and you are "freed up" to do only the most difficult work, the day would feel a lot less balanced and burnout would be more likely. Imagine a day of only borderline PD patients in crisis, clozapine patients who are decompensating, etc.

For doctors its a big net negative. Its great for insurers to pay less and promote less use of visits by patients especially the more straight forward ones.

I think when i put my 5 year prediction windows its more of that sort of stuff shifting and changing. The ease of making money that we have will likely get much harder and draining as those technologies will essentially take away our more bread and butter cases. Its sad and hilarious that we have fought tooth and nail for increased compensation which stll doesnt keep up with inflation and now we are going to literally be dealign with that plus cases that skew on hard mode only.

The easiest hard work you'll probably do is probably in the next 5 years. Im also predicting insurers to basically go live in every EMR encounter and AI will audit your record each and every time and likely always try to down code your visit. This is not a world i look forward to and hope i can opt out if its similar to what i wrote or more out of the states and work somewhere else.
 
This is a great point that I had not thought much about before. Basically if the easier work is handled for you and you are "freed up" to do only the most difficult work, the day would feel a lot less balanced and burnout would be more likely. Imagine a day of only borderline PD patients in crisis, clozapine patients who are decompensating, etc.

Hospital DC, suicidal, borderline, unstable bipolar, decompensating schizo, benzo/stim needing increased only, expert eval, disability paperwork pts....

Even a few of these in a day can be a lot. This as a normal day and then inpatient starts looking real good. Also if we do get to a point where AI is doing some low acuity follow ups then expect insureres to push it more and more to save $.
 
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It's not that conceptually AI would never be able to handle such patients. The issue is more one of time during our careers. Right now, it's refilling stable prescriptions. Next will not be managing suicidal borderline patients.
 
It's not that conceptually AI would never be able to handle such patients. The issue is more one of time during our careers. Right now, it's refilling stable prescriptions. Next will not be managing suicidal borderline patients.

I imagine you as the patient will be able to type into some insurance app or the AI app about what the issue is and what you are seeking like i need my xyz med increased or refilled and it will either do that automatically or say you will need an in person appt with a mental health care doc/np etc.

It starts with refills and then goes from there which is why most have concerns. Lazyness always wins out just like malls thinking they were bullet proof against online retails cause they wouldn't get the 'experience and abilify to try on clothes". Not exactly the same thing but enuf people will try to milk a free online app for refills but sure the most ill will be on your schedule which isn't exactly lifestyle friendly.
 
I imagine you as the patient will be able to type into some insurance app or the AI app about what the issue is and what you are seeking like i need my xyz med increased or refilled and it will either do that automatically or say you will need an in person appt with a mental health care doc/np etc.

It starts with refills and then goes from there which is why most have concerns. Lazyness always wins out just like malls thinking they were bullet proof against online retails cause they wouldn't get the 'experience and abilify to try on clothes". Not exactly the same thing but enuf people will try to milk a free online app for refills but sure the most ill will be on your schedule which isn't exactly lifestyle friendly.

The parallels aren't exact, but up-thread it was observed that Amazon didn't completely kill bookstores. It sure as all heck caused a bloodbath for independent bookstores (and definitely drove some major chains out of business). There are still malls, and there is still Barnes and Noble, but these are shadows of what they used to be.
 
The parallels aren't exact, but up-thread it was observed that Amazon didn't completely kill bookstores. It sure as all heck caused a bloodbath for independent bookstores (and definitely drove some major chains out of business). There are still malls, and there is still Barnes and Noble, but these are shadows of what they used to be.

Again not dooming and glooming here but if the AI prescribing thing does get widespread even for refills, every insurance will have its own and push legislation over time for more and more rx authority. Hospital and AMA will fight this so it will slow down the implementation. This will effect non procedural fields the most.

That has to happen first then that 5-10 year window starts where a lot of changes takes place. Id be more concerned if i was just starting med school and wasn't interested in any type of surgical or procedural field. For most of us in practice that 5-10 year window hasn't even started but its good to keep an eye on it.
 
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For doctors its a big net negative. Its great for insurers to pay less and promote less use of visits by patients especially the more straight forward ones.

I think when i put my 5 year prediction windows its more of that sort of stuff shifting and changing. The ease of making money that we have will likely get much harder and draining as those technologies will essentially take away our more bread and butter cases. Its sad and hilarious that we have fought tooth and nail for increased compensation which stll doesnt keep up with inflation and now we are going to literally be dealign with that plus cases that skew on hard mode only.

The easiest hard work you'll probably do is probably in the next 5 years. Im also predicting insurers to basically go live in every EMR encounter and AI will audit your record each and every time and likely always try to down code your visit. This is not a world i look forward to and hope i can opt out if its similar to what i wrote or more out of the states and work somewhere else.
Agree. 5 years to build that really nice nest egg and hit true escape velocity, if not already financially free.

“Reading what the CEO of Anthropic wrote, it is more clear than ever you basically have less than a 5 year window to hyper-gamble your way into elite status or end up a serf for life.”

 
Agree. 5 years to build that really nice nest egg and hit true escape velocity, if not already financially free.

“Reading what the CEO of Anthropic wrote, it is more clear than ever you basically have less than a 5 year window to hyper-gamble your way into elite status or end up a serf for life.”



For what its worth I delayed any plans to cut back till end of 2030 I'll do a reassement. in 2021 they said dont expect another 5 year window like 2016-2021 cagr for VOO and QQQ and we actually beat those numbers. Im not delusional I would be thrilled with 7% real CAGR from now till 2030 eoy.

However it only takes a 2008 type of crash which we are likely due for that makes the entire 5 year window 0% return. At least if your fulll time and working your still buying through that window some of which will be low prices and big picture you will be ahead. Anyone starting attendhihood fron july 2009 has had an amazing bull run from dow 8k to 50k. insane!
 
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Anyone starting attendhihood fron july 2009 has had an amazing bull run from dow 8k to 50k. insane!
Which is probably the majority of active people on these forums IMO. Not to mention most of their real social networks etc. No one has seen a real downturn yet. Wonder how many people will still feel comfortable going 100% equities or even stock picking, when "the crash" finally hits. :bang:🤯⤵️ Sounds easy on paper "YEAHH I'M GETTING CHEAP STOCKS SO I WILL BUY MORE!" but I don't think anyone really knows how they will behave until they're actually facing it.
 
The parallels aren't exact, but up-thread it was observed that Amazon didn't completely kill bookstores. It sure as all heck caused a bloodbath for independent bookstores (and definitely drove some major chains out of business). There are still malls, and there is still Barnes and Noble, but these are shadows of what they used to be.
Did it though? I still know quite a few independent bookstores that are open, but like I said they do a lot of selling online now. Same thing for anyone in any field based on collectibles. Much to my chagrin, eBay has helped my dad build a massive card and comic collection that would not have been possible if he had to keep buying from physical locations.

Ironically, eBay saved a lot of physical card shops in the 2000’s by opening the market up. Like I said, I think we are going to see something similar with AI where those who are capable of evolving and using the tool correctly will continue to be just fine, at least for the next decade or so.