Research
Explore our publications and preprints advancing healthcare through rigorous AI evaluation.
A narrowing window to understand AI
As capabilities of artificial intelligence (AI) advance rapidly, human understanding of these systems is increasingly falling behind. Several trends are […]
Teaching large language models to reason like expert diagnosticians
Differential diagnosis is an iterative process that integrates patient information with broader medical knowledge. Clinical case series such as the […]
Advancing conversational diagnostic AI with multimodal reasoning
Real-world clinical practice is inherently multimodal, relying on the synthesis of patient history with visual information such as medical imagery […]
Context is key: context engineering as the next frontier of medical AI
Large language models (LLMs) have been rapidly adopted for their potential to reduce clinician documentation burden and assist with clinical […]
What the AI era doctor should know: a scoping review of proposed artificial intelligence competencies for medical education
Artificial intelligence (AI) is rapidly reshaping healthcare and the competencies expected of graduating medical students, yet AI curricula and competency […]
When medical AI fails outside English
Large language models (LLMs) are increasingly positioned as general-purpose medical systems, with demonstrated potential in diagnosis and management reasoning for […]
Physician-Reported Safety Outcomes of AI-Generated Hospital Course Summaries
High-quality discharge summaries are essential for safe care transitions but contribute substantially to clinician documentation burden and burnout. While retrospective […]
PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments
We introduce PhysicianBench, a benchmark for evaluating LLM agents on physician tasks grounded in real clinical setting within electronic health […]
Performance of a large language model on the reasoning tasks of a physician
More than 65 years ago, complex clinical diagnostic reasoning cases were introduced as the gold standard for the evaluation of […]
Why are humans still in the loop with advancing AI capabilities?
Large language model generative artificial intelligence (AI) systems have opened Pandora’s box, beating human benchmarks across a range of tasks. […]
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