Thomas Buckley

Thomas Buckley

PhD Student, Harvard University

Bio

I am a PhD student in the inaugural AI in Medicine Program, in the Department of Biomedical Informatics at Harvard Medical School, advised by Prof. Arjun Manrai. My research focuses on developing and evaluating large language models for clinical reasoning and diagnosis, as well as AI for automated scientific discovery.

News

April 4, 2025 Interviewed on JAMA+ AI Podcast about LLMs for Clinical Reasoning
March 31, 2025 My Research on Llama 3.1 for Complex Diagnosis Featured in The Harvard Crimson and Harvard Medicine News
November 6, 2024 Awarded inaugural Dunleavy Fellowship for Clinical AI at Harvard Medical School
May 6, 2024 Presented research on Accuracy of Vision-Language Models on Challenging Medical Cases at SAIL 2024

Publications

Advancing Medical Artificial Intelligence Using a Century of Cases

TA Buckley, R Conci, PG Brodeur, et al.

arXiv preprint 2509.12194 • 2025

Comparison of frontier open-source and proprietary large language models for complex diagnoses

TA Buckley, B Crowe, REE Abdulnour, A Rodman, AK Manrai

JAMA Health Forum 6 (3), e250040-e250040 • 2025

Do Language Models Think Like Doctors?

LG McCoy, R Swamy, N Sagar, M Wang, J Cao, S Bacchi, N Fong, ...

medRxiv, 2025.02.11.25321822 • 2025

Projected changes in statin and antihypertensive therapy eligibility with the AHA PREVENT cardiovascular risk equations

JA Diao, I Shi, VL Murthy, TA Buckley, CJ Patel, E Pierson, RW Yeh, ...

JAMA 332 (12), 989-1000 • 2024

Superhuman performance of a large language model on the reasoning tasks of a physician

PG Brodeur*, TA Buckley*, Z Kanjee, E Goh, EB Ling, P Jain, S Cabral, ...

*Co-first authors

arXiv preprint arXiv:2412.10849 • 2024

Multimodal Foundation Models Exploit Text to Make Medical Image Predictions

T Buckley, JA Diao, P Rajpurkar, A Rodman, AK Manrai

arXiv e-prints, arXiv: 2311.05591 • 2023

Artificial intelligence vs clinician performance in estimating probabilities of diagnoses before and after testing

A Rodman, TA Buckley, AK Manrai, DJ Morgan

JAMA Network Open 6 (12), e2347075-e2347075 • 2023