Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery. - Debadutta Dash; Rahul Thapa; Juan M. Banda; Akshay Swaminathan; Morgan Cheatham; Mehr Kashyap; Nikesh Kotecha; Jonathan H. Chen; Saurabh Gombar; Lance Downing; Rachel Pedreira; Ethan Goh; et al. (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)

Superhuman performance of a large language model on the reasoning tasks of a physician. - Peter G. Brodeur; Thomas A. Buckley; Zahir Kanjee; Ethan Goh; Evelyn Bin Ling; Priyank Jain; Stephanie Cabral; Raja-Elie Abdulnour; Adrian Haimovich; Jason A. Freed; Andrew Olson; Daniel J. Morgan; et al. (CoRR, 2024)

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)

Asking the Right Questions: Benchmarking Large Language Models in the Development of Clinical Consultation Templates. - Liam G. McCoy; Fateme Nateghi Haredasht; Kanav Chopra; David Wu; David JH Wu; Abass Conteh; Sarita Khemani; Saloni Kumar Maharaj; Vishnu Ravi; Arth Pahwa; Yingjie Weng; Leah Rosengaus; et al. (CoRR, 2025)