Soooo excited to see this out The Lancet Digital Health - deep learning for medical image classification by doctors Moorfields Eye Hospital NHS Foundation Trust with NO coding experience using Google Cloud #DeepLearning #AutoML #OpenSource authors.elsevier.com/sd/article/S25…

Sad that I JUST discovered this paper. What's the equivalent technique for understanding representations from audio, text, ECG, genome... data?!!

🤖📢‼️ML Healthcare Researchers ‼️📢🤖 BIG medical data release thanks to Alistair Johnson Massachusetts Institute of Technology (MIT) BIDMC MIMIC 2.0 >375k chest Xrays + 𝙁𝙍𝙀𝙀 𝙏𝙀𝙓𝙏 𝙍𝘼𝘿𝙄𝙊𝙇𝙊𝙂𝙔 𝙍𝙀𝙋𝙊𝙍𝙏𝙎 Link: physionet.org/content/mimic-… cc: Jeremy Howard Jeremy Irvin

First Apple now Amazon. Interesting that they built out the mobile app and rx delivery but stopped short on hiring doctors. Instead they contracted with an existing provider

A prospective clinical trial of #AI to determine intraoperative #cancer in near real time using label-free imaging: impressive rapid, accurate results by Michigan Neurosurgery Todd Hollon Daniel Orringer & collaborators Nature Medicine nature.com/articles/s4159…

What company is the #1 market #EHR, makes >$3 billion/yr selling (aka gouging) health systems poor performing software, and now opposes HHS.gov proposal for hospitals to share medical data for their patients? This one: cnbc.com/2020/01/22/epi… by Christina Farr CNBC

Musings of an anonymous, pissed off virologist.

We would like to introduce Lucky (right) with her best friend (Leia) to the MSTPet community! Photo credit goes to Lucky’s human Thomas Li (M2).

Brand new PredictionHealth video hot and fresh out of the oven! 🕺🩺 🤖 So psyched to be saving clinicians hours a day and freeing them up to focus on their patients. This is just the beginning, too!

The breadth that Eye On A.I. covers is amazing - research, startups, policy, ethics, verticals... list goes on

So excited that my fiancé Aiwei will be joining @VUMCMedicineRes!

Great thread on understanding transformers from (roughly) first principles

Our work on vision transformers for longitudinal medical imaging is out as preprint! We leverage time intervals b/w repeated scans to improve on a cross-sectional approach. arxiv.org/abs/2209.01676 with Bennett Landman (Vanderbilt MASI Lab) Kaiwen Xu Yucheng Tang Fabien Maldonado 🇺🇸🇫🇷 @SandlerRhodes

We are very interested in interpreting images within the context of a patient's history, known biomarkers, and other available data. However, all too often, not every patient has every data type available. Recently, we looked at this problem in lung screening.

Leon Y. Cai, MD, PhD handed off the GitHub Guru trophy for lab mentorship. Thank you Thomas Li for filling his very big shoes. I appreciate our great Vanderbilt MSTP / Vanderbilt BME team players.

Someone throw the uworld 2ck qbank at this. Mine expired…

Poster is up at #MICCAI2023! We discuss learning strategies for integrating longitudinal Imaging + EHRs. I will be at the 9:30 AM poster session (T-3-73) and then presenting at 4:30 PM (oral 7). Looking forward to my first MICCAI with Bennett Landman (Vanderbilt MASI Lab)!