Steinberg, Ethan

6 publications

ICLR 2025 Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHR Data Michael Wornow, Suhana Bedi, Miguel Angel Fuentes Hernandez, Ethan Steinberg, Jason Alan Fries, Christopher Re, Sanmi Koyejo, Nigam Shah

ICLR 2025 Time-to-Event Pretraining for 3D Medical Imaging Zepeng Frazier Huo, Jason Alan Fries, Alejandro Lozano, Jeya Maria Jose Valanarasu, Ethan Steinberg, Louis Blankemeier, Akshay S Chaudhari, Curtis Langlotz, Nigam Shah

ICLR 2024 MOTOR: A Time-to-Event Foundation Model for Structured Medical Records Ethan Steinberg, Jason Alan Fries, Yizhe Xu, Nigam Shah

AAAI 2024 MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records Scott L. Fleming, Alejandro Lozano, William J. Haberkorn, Jenelle A. Jindal, Eduardo Pontes Reis, Rahul Thapa, Louis Blankemeier, Julian Z. Genkins, Ethan Steinberg, Ashwin Nayak, Birju S. Patel, Chia-Chun Chiang, Alison Callahan, Zepeng Huo, Sergios Gatidis, Scott J. Adams, Oluseyi Fayanju, Shreya J. Shah, Thomas Savage, Ethan Goh, Akshay S. Chaudhari, Nima Aghaeepour, Christopher D. Sharp, Michael A. Pfeffer, Percy Liang, Jonathan H. Chen, Keith E. Morse, Emma P. Brunskill, Jason A. Fries, Nigam H. Shah

NeurIPS 2023 EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models Michael Wornow, Rahul Thapa, Ethan Steinberg, Jason Fries, Nigam Shah

NeurIPS 2023 INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Curtis Langlotz, Matthew Lungren, Serena Yeung, Nigam Shah, Jason Fries