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

Artificial Intelligence (AI) in Medical Education (209) Simulation (174) Chatbots and Conversational Agents (767) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2210) New Methods and Approaches in Medical Education (400) Training Tools for Medical Students (158) Depression and Mood Disorders; Suicide Prevention (1735)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/87102, first published .
Using AI to Train Future Clinicians in Depression Assessment: Feasibility Study

Using AI to Train Future Clinicians in Depression Assessment: Feasibility Study

Using AI to Train Future Clinicians in Depression Assessment: Feasibility Study

Authors of this article:

Friederike Holderried1 Author Orcid Image ;   Alessandra Sonanini1 Author Orcid Image ;   Annika Philipps2 Author Orcid Image ;   Christian Stegemann-Philipps1 Author Orcid Image ;   Lea Herschbach1 Author Orcid Image ;   Teresa Festl-Wietek1 Author Orcid Image ;   Stephan Zipfel2, 3 Author Orcid Image ;   Rebecca Erschens2 Author Orcid Image ;   Anne Herrmann-Werner1, 3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Friederike Holderried   1 , MME, MD ;   Alessandra Sonanini   1 , MD ;   Annika Philipps   2 , MD ;   Christian Stegemann-Philipps   1 , Dr rer nat ;   Lea Herschbach   1 , MSc ;   Teresa Festl-Wietek   1 , Dr rer nat ;   Stephan Zipfel   2, 3 , Prof Dr Med ;   Rebecca Erschens   2 , Dr rer nat ;   Anne Herrmann-Werner   1, 3 , MME, Prof Dr Med

1 TIME - Tübingen Institute for Medical Education, University of Tübingen, Tübingen, Baden-Wurttemberg, Germany

2 Department of Psychosomatic Medicine and Psychotherapy, University Hospital Tübingen, University of Tübingen, Tübingen, Germany

3 German Center for Mental Health (DZPG), Partner Site Tübingen, Tübingen, Germany

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