AI RESEARCH
From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned Learning
arXiv CS.AI
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ArXi:2604.11137v1 Announce Type: new The integration of Large Language Models (LLMs) into clinical decision is critically obstructed by their opaque and often unreliable reasoning. In the high-stakes domain of healthcare, correct answers alone are insufficient; clinical practice demands full transparency to ensure patient safety and enable professional accountability.