Research
Explore our publications and preprints advancing healthcare through rigorous AI evaluation.
From tool to teammate in a randomized controlled trial of clinician-AI collaborative workflows for diagnosis
Early studies of large language models (LLMs) in clinical settings have largely treated artificial intelligence (AI) as a tool rather […]
Deployment and Evaluation of an EHR-integrated, Large Language Model-Powered Tool to Triage Surgical Patients
Surgical co-management (SCM) is an evidence-based model in which hospitalists jointly manage medically complex perioperative patients alongside surgical teams. Despite […]
Clinician input steers frontier AI models toward both accurate and harmful decisions
Large language models (LLMs) are entering clinician workflows, yet evaluations rarely measure how clinician reasoning shapes model behavior during clinical […]
A clinical environment simulator for dynamic AI evaluation
Clinical evaluation of large language models (LLMs) currently relies on static datasets and isolated scenarios that fail to capture the […]
Merlin: a computed tomography vision–language foundation model and dataset
The large volume of abdominal computed tomography (CT) scans coupled with the shortage of radiologists have intensified the need for […]
Building The Health Chatbot Users’ Guide
General-purpose large language models (LLMs) are now commonplace throughout society, becoming de facto health advisors for millions worldwide1. The public […]
Artificial intelligence translation in healthcare: an urgent call for evidence-informed policy frameworks
The deployment of artificial intelligence (AI) translation tools in healthcare is accelerating rapidly, yet regulatory frameworks lag dangerously behind clinical […]
MedAgentBrief for Hospital Course Summarization: Safety, Use, and Discharge Documentation Burden
mportance: High-quality discharge summaries are essential for safe care transitions but contribute substantially to clinician documentation burden and burnout. While […]
Scaling medical AI across clinical contexts
Medical artificial intelligence (AI) tools, including clinical language models, vision–language models and multimodal health record models, are used to summarize […]
Uses of generative AI by non-clinician staff at an academic medical center
Large language model (LLM) chat tools have the potential to transform healthcare workflows by improving efficiency and reducing administrative burdens. […]
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