2 citations · 2 across the 2 of their papers we have counts for
4 papers
Answering clinicians' questions over trial evidence tables with verifiable, feedback-driven language models
Manan Roy Choudhury, Suparno Roy Chowdhury, Swastik Sahoo +5
Systematic reviews condense clinical trials into evidence tables, yet clinicians can interrogate these tables only through database queries, and many questions concern attributes t…
Evaluating Medical LLMs by Levels of Autonomy: A Survey Moving from Benchmarks to Applications
Xiao Ye, Jacob Dineen, Zhaonan Li +11
Medical Large language models achieve strong scores on standard benchmarks; however, the transfer of those results to safe and reliable performance in clinical workflows remains a…
RECAP: Transparent Inference-Time Emotion Alignment for Medical Dialogue Systems
Adarsh Srinivasan, Jacob Dineen, Muhammad Umar Afzal +3
Large language models in healthcare often produce emotionally flat or opaque responses, failing to provide the transparent reasoning required for clinical trust. We present RECAP (…
Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study
Niklas Mannhardt, Elizabeth Bondi-Kelly, Barbara Lam +10
Large language models (LLMs) have immense potential to make information more accessible, particularly in medicine, where complex medical jargon can hinder patient comprehension of…