The effectiveness of multilingual AI-based simulator for suicide risk assessment training in improving self-efficacy among young psychiatrists: a pilot study across twenty languages

Article de revue

Avec comité de lecture

Zohar Elyoseph, Yossi Levi-Belz, Inbar Levkovich, Yuval Haber, Carla Maria Gramaglia, Jorge López Castroman, Hanon Cecile et Emilie Olie

BMC psychiatry

06/01/2026

PMID: 41495734

Résumé

GenAI simulator

Generative AI

Risk assessment

Multilingual training

Virtual patient

Psychiatric education

Mental health training

Professional development

Suicide prevention

Clinical self-efficacy

1 Consultations de la notice

Titre: The effectiveness of multilingual AI-based simulator for suicide risk assessment training in improving self-efficacy among young psychiatrists: a pilot study across twenty languages
Créateurs - sans rôle: Zohar Elyoseph - University of Haifa
Yossi Levi-Belz - Lior Tsarfati Mental Pain Center, Haifa, Israel
Inbar Levkovich - Tel l-Hai Academic College, Kiryat Shmona, Israel
Yuval Haber - The PhD Program of Hermeneutics and Cultural Studies, Interdisciplinary Studies Unit, Bar-Ilan University, A Gan, Israel
Carla Maria Gramaglia - Maggiore della Carità University Hospital, Novara, Italy
Jorge López Castroman - Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
Hanon Cecile - Regional Resource Center of Old Age Psychiatry, APHP, University of Paris, Paris, France
Emilie Olie - Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital, CHU Montpellier, Montpellier, France
Détails de publication: BMC psychiatry
Identifiants: 99163085509311
Unité académique: Institut de Génomique Fonctionnelle - IGF
Langue: English
Type de ressource: Journal article