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.
First Author
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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
[DOI/Link]
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
[DOI/Link]
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
[DOI/Link]
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, ...
arXiv preprint arXiv:2412.10849 • 2024
[DOI/Link]
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
[DOI/Link]
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
[DOI/Link]
