99 citations · 224 across the 16 of their papers we have counts for
3 papers · 1 filter
Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs
Michael Wornow, Suhana Bedi, Miguel Angel Fuentes Hernandez +5
Foundation Models (FMs) trained on Electronic Health Records (EHRs) have achieved state-of-the-art results on numerous clinical prediction tasks. However, most existing EHR FMs hav…
Time-to-Event Pretraining for 3D Medical Imaging
Zepeng Huo, Jason Alan Fries, Alejandro Lozano +6
With the rise of medical foundation models and the growing availability of imaging data, scalable pretraining techniques offer a promising way to identify imaging biomarkers predic…
meds_reader: A fast and efficient EHR processing library
Ethan Steinberg, Michael Wornow, Suhana Bedi +3
The growing demand for machine learning in healthcare requires processing increasingly large electronic health record (EHR) datasets, but existing pipelines are not computationally…