Methods to Estimate Large Language Model Confidence. - Maia Kotelanski; Robert Gallo; Ashwin Nayak 002; Thomas Savage (CoRR, 2023)

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)

Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine. - Thomas Savage; Ashwin Nayak 002; Robert Gallo; Ekanath Rangan; Jonathan H. Chen (npj Digit. Medicine, 2024)

Establishing best practices in large language model research: an application to repeat prompting. - Robert Gallo; Michael T. M. Baiocchi; Thomas Savage; Jonathan H. Chen (J. Am. Medical Informatics Assoc., 2025)

Large language model uncertainty proxies: discrimination and calibration for medical diagnosis and treatment. - Thomas Savage; John Wang; Robert Gallo; Abdessalem Boukil; Vishwesh Patel; Seyed Amir Ahmad Safavi-Naini; Ali Soroush; Jonathan H. Chen (J. Am. Medical Informatics Assoc., 2025)

Clinical entity augmented retrieval for clinical information extraction. - Iván López; Akshay Swaminathan; Karthik S. Vedula; Sanjana Narayanan; Fateme Nateghi Haredasht; Stephen P. Ma; April S. Liang; Steven Tate; Manoj Maddali; Robert Gallo; Nigam H. Shah; Jonathan H. Chen (npj Digit. Medicine, 2025)