THE RESEARCH
We study how AI, medical technology, and the organization of healthcare shape clinical decisions and care. Our work connects clinical evidence with the practical questions of implementation, access, and business.
We evaluate language models across the clinical workflow, from an initial differential diagnosis to testing and treatment. Our studies examine reasoning, reliability, and the limits of performance when clinical information is incomplete.
Clinical workflow study · JMIR ↗We develop and evaluate tools around clinical needs, including medical devices, multilingual communication, and applications of generative AI. Clinical usefulness and the realities of implementation guide the work.
RadTranslate · clinical communication ↗We study the conditions that help clinicians turn problems into useful inventions: practical training, intellectual property, incentives, and connections across disciplines. MESH and MESH Core provide a foundation for this work.
Innovation in medical training · Nature Biotechnology ↗We examine imaging use, care pathways, and disparities in access. Analyses of clinical activity help identify delays, avoidable work, and opportunities to improve how care is delivered.
Imaging utilization research · JACR ↗Our collaborative research with Harvard Business School examines the organizational and economic conditions behind healthcare innovation. We study incentives, commercialization, and how institutions support new technology.
The innovation RVU · Nature Biotechnology ↗