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AI for psychiatric training and education

Published online by Cambridge University Press:  26 August 2025

D. Eraslan  and
P. Thomann
D. Eraslan*
Affiliation:
Psychiatry, SRH Klinikum Karlsbad Langensteinbach, Karlsbad, Germany
P. Thomann
Affiliation:
Psychiatry, SRH Klinikum Karlsbad Langensteinbach, Karlsbad, Germany
*
*Corresponding author.

Abstract

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Abstract

Artificial intelligence (AI) is transforming psychiatric training and education by enhancing diagnostic accuracy, improving therapeutic decision-making, and personalizing learning experiences for trainees. AI-driven simulations, virtual patients, and natural language processing (NLP)-based assessments allow for more effective skill development in psychiatric diagnosis and psychotherapy. Machine learning models provide evidence-based guidance, reinforcing clinical reasoning and treatment strategies. Ethical considerations, including patient confidentiality and bias mitigation, remain central to AI implementation in training. This session explores the latest advancements in AI-driven psychiatric education, discussing practical applications, challenges, and future directions for integrating AI into clinical training programs.

Keywords

AI, psychiatry, education, machine learning, clinical training

References

1. Ahmed, M., & Rush, A. J. (2023). Artificial intelligence in psychiatry: Current applications and future directions. Journal of Psychiatric Research, 157, 106-121.

2. Ryu, S., & Kim, H. (2022). AI-based learning tools for medical education: A systematic review. Medical Teacher, 44(5), 512-520.

3. Luxton, D. D. (2021). Ethical implications of AI in mental health care. Journal of Ethics in Mental Health, 12, 1-14.

Disclosure of Interest

None Declared

Information

Type
Abstract
Information
European Psychiatry , Volume 68 , Special Issue S1: Abstracts of the 33rd European Congress of Psychiatry , April 2025 , pp. S62
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of European Psychiatric Association
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