AgentClinic is a multimodal benchmark that tests clinical AI agents in simulated, dialogue-driven diagnostic settings rather than static medical question-answer formats. The study found that model performance varied sharply by tool use, language, bias, image handling, and patient-agent interactions, highlighting the need for more realistic AI evaluation before clinical deployment.