A Scoping Review of AI-Driven Digital Interventions in Mental Health Care: Mapping Applications Across Screening, Support, Monitoring, Prevention, and Clinical Education
arXiv 2603.16204•20ced7d69fb614bd20e2bb17a9bc80721fe2781828bf53334126f3e9e50442ae
AIAlgorithmic biasAutomation biasBot detectionData privacyDe-anonymizationEducationEmbedding attacksExplainabilityGenerative AIGovernanceHallucinationHealthcareLLMLegal AIMental healthMisinformationMulti-agent systemsOpen-source modelsPrivacyPrivacy lawRegulatory riskReproducibilityUOOMUser profiling
Paper metadata
- arXiv ID
- 2603.16204
- Version
- Not specified by this published record
- Category
- Computer Science — Computers and Society (cs.CY)
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Evidence and limitations
- Source ID
- arxiv_cs_cy
- Record identifier
- 20ced7d69fb614bd20e2bb17a9bc80721fe2781828bf53334126f3e9e50442ae
- Enrichment time
- 2026-03-18T07:23:53Z
- AI-assisted enrichment
- Yes
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