An Agentic LLM-Based Framework for Population-Scale Mental Health Screening
Mental health disorders affect millions worldwide, and healthcare systems are increasingly overwhelmed by the volume of clinical data generated from electronic records, telemedicine platforms, and population-level screening programs. At the same time, the emergence of novel AI-based approaches in healthcare calls for intelligent frameworks capable of processing domain-specific unstructured clinical information while adapting to patient-specific needs. This paper proposes an agentic framework for
Record details
Published: 13 May 2026
Source: arXiv
Category: Research
Topics: Healthcare · Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (13 May 2026), “An Agentic LLM-Based Framework for Population-Scale Mental Health Screening,” evidence record 4414, https://ethics.ai/record/4414 (originally published by arXiv).
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