AgentClinic: New Benchmark for Medical AI Evaluation
AgentClinic, a new benchmark for evaluating clinical AI agents, has been introduced to test their performance in simulated clinical environments. This benchmark involves a multi-modal agent system, including a doctor agent, patient agent, measurement agent, and moderator, each with specific roles and information. The study, published in npj Digital Medicine, highlights the limitations of current AI models in real-world clinical settings, despite their success in passing medical exams. AgentClinic aims to assess AI's ability to handle uncertainty, use tools, interpret images, and navigate biases in patient interactions. The benchmark uses questions from medical datasets to simulate realistic clinical scenarios, providing a more comprehensive evaluation of AI capabilities. 
