machine learning

About us Layer Health is a stealth AI startup recently spun out of MIT, revolutionizing clinical documentation by leveraging the power of large language models. We are building an AI layer that will radically speed up and improve the quality of extracting and synthesizing information from...

I haven't posted here in nearly a decade, but the latest breakthroughs in AI/ML deserves an awareness post for future trainees. In 2016, radiologist were aghast when Geoffrey Hinton (one of the pioneers of the current AI era) said, "We should stop training radiologists now." If you were starting...

Hi everyone, We were hoping to share the below research opportunities in our lab for those interested in health data science, AI/machine learning, natural language processing, and computer vision: The Hong laboratory at the University of California, San Francisco (honglab.ucsf.edu) is part of...

As the header says, what technical skills do you think will be most valuable for therapy development in the next 10-20 years? i.e. for treatments like immunotherapy, gene/epigenetic therapy. I’m not sure if focusing more on stats/machine learning or wet lab skills will be more useful to focus on...

Hi, I’m currently one year out from college and am working as an applied ML researcher in industry. I’m starting the med school application process now but am having doubts about whether I’ll be able to use my technical background if I continue down the MD route. Although I certainly want to be...

Hi all, I've posted some stuff like this in the past, but now I have more concrete details that I was hoping would help people give me some better opinions. I will likely be applying to programs this upcoming cycle, and was hoping to get some insight. My problem: I feel like I wouldn't be...

I figured I'd give a little insight into my experience with what's happening in AI/ML and radiology. There's a great opinion piece from the New York Times that came out today. It echoes my thoughts and prompted me to write this post. The gestalt of the article is that deep learning has enabled...

There is a lot of hype around AI and ML right now and major hospitals, universities and tech companies have already started pairing off/partnering up with big industry players like IBM and GE to name a few. There’s also no shortage of articles about how AI has outperformed a pathologist or a...

This is a broad topic but I was wondering what people's thoughts were on AI & ML's potential impact on the pharmacy profession. And not just retail but hospital, industry, managed care, academia, all areas where pharmacists are employed. AI/ML is being explored in drug development and at Pill...

We are looking for medical professionals (MS3,MS4,MD,DO,NP,PA) who are interested in contributing to an innovative project with a goal of improving healthcare through machine learning/artificial intelligence. If you are interested in this opportunity (PAID, remote, flexible), please inquire...

Usable medical image analysis seems far fetched but starting small has shown great potential. Using machine learning to evaluate the vessels of the retina demonstrated promise to diagnose diabetic retinopathy. Why can't we do the same with ovarian or liver lesions? Thyroid nodules? #ML...

ARTIFICIAL INTELLIGENCE | DECEMBER 19, 2016 At RSNA 2016, the key buzzwords were “deep learning,” “machine learning” and “artificial intelligence.” Vendors and major academic centers are developing a wide array of artificial intelligence neuro networks to aid radiologists in clinical diagnosis...

Hi all, I'm pretty interested in the incorporation of deep learning into radiology. I've setup a blog to help track the emergence of deep learning companies, research articles and expert discussions all with a focus on radiology. My first post is a survey of the landscape of companies...