When Symptoms Are Not Enough: Evidence-Weighting Patterns in Large Language Model Psychiatric Screening 事件

When Symptoms Are Not Enough: Evidence-Weighting Patterns in Large Language Model Psychiatric Screening arXiv:2605.23148v2 Announce Type: replace Abstract: 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, demographic subgroups, and evidence-use patterns remains uncertain. We introduce a SCID-anchore