Research
Explore our publications and preprints advancing healthcare through rigorous AI evaluation.
Drivers of Oncologist Preference of AI-Generated Literature Review in a Randomized Mixed-Methods Study
Doctors increasingly rely on AI in the clinic, yet which report features make AI-generated responses useful and trustworthy remains unclear. […]
Patient factors in medical artificial intelligence: a systematic review
Medical artificial intelligence (AI) is increasingly developed, piloted and used in clinical practice, yet the translation of technical capability into […]
An Electronic Health Record–Integrated, Large Language Model–Powered Tool to Triage Surgical Patients
Surgical comanagement (SCM) is an evidence-based care model in which hospitalists jointly manage medically complex perioperative patients alongside surgical teams. […]
HealMed: Multilingual Evaluation of Large Language Models in Medicine
We present HealMed, an expert-reviewed benchmark for multilingual evaluation of large language models in medicine. HealMed contains 1,000 examples in […]
Building safer clinical agents: the case for residency-level benchmarks in medical artificial intelligence
Advances in large language models (LLMs) have accelerated medical benchmarking, yet most evaluation of LLMs still relies on exam-style question […]
RadFusion: Towards Threshold-Controllable Radiology Report Generation
Automated radiology report generation is advancing rapidly in response to the shortage of radiologists, yet unlike a perception model, existing […]
Toward expert-level medical text validation with language models
With the growing use of language models (LMs) in clinical environments, there is an immediate need to evaluate the accuracy […]
High-Stakes Decisions with Language Models: Insights from Emergency Triage
High-stakes decisions under uncertainty, such as medical emergency triage, require more than accurate predictions. They depend on estimating the likelihood […]
Medical AI has a measurement problem
The development of two medical AI assistants highlights an unnerving challenge: as the technology races ahead, what is the best […]
Toward a test of medical AI superintelligence
Researchers urgently need a rigorous, task-based framework to define and measure medical AI ‘superintelligence’, because existing benchmarks are misleading and […]
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