Doctorina MedBench: A Dialogue-Based Benchmark for Agent-Based Medical AI
Researchers introduce Doctorina MedBench, a framework for evaluating agent-based medical AI through simulated physician-patient dialogues. The benchmark uses the D.O.T.S. metric (Diagnosis, Observations/Investigations, Treatment, Step Count) to assess both clinical correctness and dialogue efficiency. The dataset features over 1,000 clinical cases spanning more than 750 diagnoses, and includes support for safety-oriented trap cases and regression testing.
Why it matters: By simulating multi-step clinical dialogues, this benchmark enables a more realistic and comprehensive assessment of clinical competence for medical AI systems than traditional test-based evaluations.
Full story at: arXiv Multiagent Systems ↗