AI RESEARCH

Learning Diagnostic Reasoning for Decision Support in Toxicology

arXiv CS.CL

ArXi:2603.29608v1 Announce Type: new Acute poly-substance intoxication requires rapid, life-saving decisions under substantial uncertainty, as clinicians must rely on incomplete ingestion details and nonspecific symptoms. Effective diagnostic reasoning in this chaotic environment requires fusing unstructured, non-medical narratives (e.g. paramedic scene descriptions and unreliable patient self-reports or known histories), with structured medical data like vital signs.