AI RESEARCH
HealthCraft: A Reinforcement Learning Safety Environment for Emergency Medicine
arXiv CS.CL
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ArXi:2605.21496v1 Announce Type: cross Frontier language models are being deployed into clinical workflows faster than the infrastructure to evaluate them safely. Static medical-QA benchmarks miss the failure modes that matter in emergency medicine: trajectory-level safety collapse, tool misuse, and capitulation under sustained clinical pressure. We present HealthCraft, the first public reinforcement-learning environment that rewards trajectory-level safety under realistic emergency-medicine conditions, adapted from Corecraft.