AI-driven mental health decision support linked to clinician resilience and preparedness.

Margareta-Theodora Mircea¹, Jessica McFadyen¹, Ross Harper¹, Max Rollwage¹, Tobias U Hauser^1,2,3,4

¹Limbic Ltd., London, United Kingdom.

²Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom.

³Department of Psychiatry and Psychotherapy, Medical School and University Hospital, Eberhard Karls University of Tubingen, Tübingen, Germany.

⁴German Center for Mental Health (DZPG), Tübingen, Germany.

PubMed PMC DOI PDF

Abstract

OBJECTIVES: Mental health services are facing unprecedented demand, placing significant pressure on clinicians to conduct timely and effective patient assessments. Rising staff turnover and burnout threatens service quality across many countries. This study examined whether providing clinical information, collected via an artificial intelligence (AI)-enabled decision support tool for mental health…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.