Introducing BrainLM 🧠🤖the first foundation model for #fMRI analysis trained on 6,700 hours of brain activity data! Fine-tune for specialized tasks or leverage zero-shot inference capabilities! Wu Tsai Institute | Yale University Yale Computer Science Yale CBB Yale School of Medicine biorxiv.org/content/10.110…

Deep learning #CNN #dynamicimaging to predict #CHIP & future cardiomyopathy from CMR AHA Science American Heart Association Scientific sessions w/James L Cross & Nathan Chen David van Dijk @E_Zappala

Accepted at #ICLR2024! BrainLM, the first #fMRI foundation model 🧠

James L Cross presents our work Yale School of Medicine #AI in #Medicine symposium, leveraging #LLM to extract #CMR report features, showing high concordance w/human expert annotation #highthroughput David van Dijk Nathan Chen Yale CVRC Yale Cardiology Yale University

Look forward to sharing our science led by James L Cross & Shawn Wahi Yale School of Medicine Yale Cardiology Yale Internal Medicine Yale Cancer Center European Society of Cardiology 2025 in Madrid Spain! #AI #LLM #CMR & #ML models to predict ICI cardiotoxicity w/new risk calculator Attila Feher, MD, PhD Ibolya Csecs MD PhD Maciej Tysarowski Mariam Baig, MD

Congrats James L Cross & @Shawnwahi on presenting our work on leveraging SOTA #LLMs to extract CMR indications showing that in terms of accuracy: 1) commercial > open source, 2) general > medical pretrained, 3) with reasoning being similar to non reasoning models AHA Science #AHA25