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This paper is in the following e-collection/theme issue:

Applications of AI (956) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3207) Clinical Information and Decision Making (3700) Decision Support for Health Professionals (2231) Depression and Mood Disorders; Suicide Prevention (2460) Machine Learning (3168) Formative Evaluation of Digital Health Interventions (5124) Artificial Intelligence (4767) Mental Health Surveillance and Epidemiology (224)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85085, first published .
Doctor discusses risk alert profile with patient, showing a tablet with a risk assessment chart.

AI Models for Suicide Risk Prediction in Adult Patients Receiving Mental Health Care Using Real-World Data: Retrospective Population-Based Study

AI Models for Suicide Risk Prediction in Adult Patients Receiving Mental Health Care Using Real-World Data: Retrospective Population-Based Study

Authors of this article:

Cleofé Peña-Gómez1, 2 Author Orcid Image ;   Marc Fradera2, 3, 4 Author Orcid Image ;   Xavier Sánchez Corrales5 Author Orcid Image ;   Marc Caravaca-Rodriguez2 Author Orcid Image ;   Juan-Francisco Martínez-Cerdá6 Author Orcid Image ;   Joan Albert Escofet6 Author Orcid Image ;   David Roche7 Author Orcid Image ;   Eneko Barbería8, 9 Author Orcid Image ;   Caridad Pontes10, 11, 12 Author Orcid Image ;   Jesús Giraldo3, 4, 13 Author Orcid Image ;   Diego Palao2, 3, 4, 5, 14 Author Orcid Image
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