Artificial Intelligence in Eating Disorder Treatment: A Qualitative Analysis of Clinical Opportunities, Barriers, and Ethical Considerations From Multi‐Disciplinary Focus Groups
This study highlighted the potential and complexity of integrating AI into eating disorder care from the viewpoint of eating disorder and AI professionals. While there is value in AI in improving efficiency and clinical support, successful implementation requires addressing ethical concerns, legal uncertainty, and infrastructural barriers. Collaboration across disciplines, rigorous validation, and clinician involvement are essential to ensure that AI applications are safe, meaningful, and ethically sound.
Authors
- S. Franssen
- Estefanía Talavera (ORCID: https://orcid.org/0000-0001-5918-8990)
- C.M.J.M. Vreeswijk
- Alexandra E. Dingemans (ORCID: https://orcid.org/0000-0002-5499-7139)
- M Landt (ORCID: https://orcid.org/0000-0001-6135-2163)
- Joyce Maas (ORCID: https://orcid.org/0000-0001-8049-8942)
- Milan Petković (ORCID: https://orcid.org/0000-0002-6264-6822)
- Mladena Simeunovic-Ostojic
- Sebastian Cardona Cano
- A. M. van Oosterzee
Institutions
- NXP (Netherlands) (NL)
- University of Applied Sciences Utrecht (NL)
- Utrecht University (NL)
- Tilburg University (NL)
- GGZ Rivierduinen (NL)
- GGZ Oost Brabant (NL)
- Eindhoven University of Technology (NL)
- Rotterdam University of Applied Sciences (NL)
- University of Twente (NL)
Publication Details
- Journal
- International Journal of Eating Disorders
- Published
- 2025-10-20
- DOI
- https://doi.org/10.1002/eat.24579
- Primary Topic
- Eating Disorders and Behaviors
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- ITEA
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek