Shah, Nigam

9 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

MLHC 2025 FactEHR: A Dataset for Evaluating Factuality in Clinical Notes Using LLMs Monica Munnangi, Akshay Swaminathan, Jason Alan Fries, Jenelle A Jindal, Sanjana Narayanan, Ivan Lopez, Lucia Tu, Philip Chung, Jesutofunmi Omiye, Mehr Kashyap, Nigam Shah

NeurIPS 2025 STARC-9: A Large-Scale Dataset for Multi-Class Tissue Classification for CRC Histopathology Barathi Subramanian, Rathinaraja Jeyaraj, Mitchell Nevin Peterson, Terry Guo, Nigam Shah, Curtis Langlotz, Andrew Y. Ng, Jeanne Shen

ICLRW 2025 TIMER: Temporal Instruction Modeling and Evaluation for Longitudinal Clinical Records Hejie Cui, Alyssa Unell, Bowen Chen, Jason Alan Fries, Emily Alsentzer, 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

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

ICLR 2017 The Effectiveness of Transfer Learning in Electronic Health Records Data Sébastien Dubois, Nathanael Romano, Kenneth Jung, Nigam Shah, David C. Kale