Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media. - Yuting Guo; Swati Rajwal; Sahithi Lakamana; Chia-Chun Chiang; Paul C. Menell; Adnan H. Shahid; Yi-Chieh Chen; Nikita Chhabra; Wan-Ju Chao; Chieh-Ju Chao; Todd J. Schwedt; Imon Banerjee; et al. (CoRR, 2022)

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

Clinfo.ai: An Open-Source Retrieval-Augmented Large Language Model System for Answering Medical Questions using Scientific Literature. - Alejandro Lozano; Scott L. Fleming; Chia-Chun Chiang; Nigam Shah (CoRR, 2023)

INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis. - Shih-Cheng Huang; Zepeng Huo; Ethan Steinberg; Chia-Chun Chiang; Matthew P. Lungren; Curtis P. Langlotz; Serena Yeung; Nigam H. Shah; Jason A. Fries (CoRR, 2023)

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 002; Birju S. Patel; Chia-Chun Chiang; et al. (AAAI, 2024)

A Large-Scale Vision-Language Dataset Derived from Open Scientific Literature to Advance Biomedical Generalist AI. - Alejandro Lozano; Min Woo Sun; James Burgess; Jeffrey J. Nirschl; Christopher Polzak; Yuhui Zhang; Liangyu Chen 005; Jeffrey Gu; Ivan Lopez; Josiah Aklilu; Anita Rau; Austin Wolfgang Katzer; et al. (CoRR, 2025)

MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks. - Suhana Bedi; Hejie Cui; Miguel Fuentes; Alyssa Unell; Michael Wornow; Juan M. Banda; Nikesh Kotecha; Timothy Keyes; Yifan Mai 001; Mert Oez; Hao Qiu; Shrey Jain; et al. (CoRR, 2025)