AI RESEARCH
When Symptoms Are Not Enough: Evidence-Weighting Patterns in Large Language Model Psychiatric Screening
arXiv CS.CL
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ArXi:2605.23148v1 Announce Type: new As demand for mental health care outpaces clinician-delivered assessment, scalable screening tools are increasingly needed. Large language models (LLMs) may identify psychiatric risk from patient narratives, but their reliability across diagnoses, graphic subgroups, and evidence-use patterns remains uncertain. We