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MedBench v5 is a dynamic, process-oriented benchmark for clinical multimodal models that integrates hallucination detection and stress testing, moving beyond static QA to evaluate reasoning and stability under information-flow stressors.
This paper presents a structured framework for benchmarking generative, multimodal, and agentic AI in healthcare, addressing the gap between high benchmark scores and real-world clinical reliability, safety, and relevance.
OpenAI assembled a team of practicing doctors to evaluate and improve ChatGPT's health-related responses using real clinical experience, aiming to enhance accuracy and communication methods, ultimately democratizing medical knowledge.