19 citations · 33 across the 6 of their papers we have counts for
3 papers · 1 filter
Evidence-Grounded Subspecialty Reasoning: Evaluating a Curated Clinical Intelligence Layer on the 2025 Endocrinology Board-Style Examination
Amir Hosseinian, MohammadReza Zare Shahneh, Umer Mansoor +3
Background: Large language models have demonstrated strong performance on general medical examinations, but subspecialty clinical reasoning remains challenging due to rapidly evolv…
VeriFact: Verifying Facts in LLM-Generated Clinical Text with Electronic Health Records
Philip Chung, Akshay Swaminathan, Alex J. Goodell +26
Methods to ensure factual accuracy of text generated by large language models (LLM) in clinical medicine are lacking. VeriFact is an artificial intelligence system that combines re…
Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication
Philip Chung, Christine T Fong, Andrew M Walters +3
We investigate whether general-domain large language models such as GPT-4 Turbo can perform risk stratification and predict post-operative outcome measures using a description of t…