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

Theme Issue 2023 - 2024 : Responsible Design, Integration, and Use of Generative AI in Mental Health (16) Methods and New Tools in Mental Health Research (566) Diagnostic Tools in Mental Health (329) Eating Disorders (102) Generative Language Models Including ChatGPT (734) Artificial Intelligence (2180)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57986, first published .
Exploring Biases of Large Language Models in the Field of Mental Health: Comparative Questionnaire Study of the Effect of Gender and Sexual Orientation in Anorexia Nervosa and Bulimia Nervosa Case Vignettes

Exploring Biases of Large Language Models in the Field of Mental Health: Comparative Questionnaire Study of the Effect of Gender and Sexual Orientation in Anorexia Nervosa and Bulimia Nervosa Case Vignettes

Exploring Biases of Large Language Models in the Field of Mental Health: Comparative Questionnaire Study of the Effect of Gender and Sexual Orientation in Anorexia Nervosa and Bulimia Nervosa Case Vignettes

Authors of this article:

Rebekka Schnepper1, 2 Author Orcid Image ;   Noa Roemmel1, 2 Author Orcid Image ;   Rainer Schaefert1 Author Orcid Image ;   Lena Lambrecht-Walzinger1 Author Orcid Image ;   Gunther Meinlschmidt1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (10) Tweetations Metrics

Journals

  1. Liu Y, Wang F. Investigating the interpretability of ChatGPT in mental health counseling: An analysis of artificial intelligence generated content differentiation. Computer Methods and Programs in Biomedicine 2025;268:108864 View
  2. Belkhouribchia J, Pen J. Large language models in clinical nutrition: an overview of its applications, capabilities, limitations, and potential future prospects. Frontiers in Nutrition 2025;12 View
  3. Bucher A, Egger S, Vashkite I, Wu W, Schwabe G. “It’s Not Only Attention We Need”: Systematic Review of Large Language Models in Mental Health Care. JMIR Mental Health 2025;12:e78410 View
  4. Levkovich I, Elyoseph Z, Lauderdale S, Meinlschmidt G, Nobile B, Hadar Shoval D, Levi-Belz Y, Shinan-Altman S, Grodniewicz J. Editorial: Empowering suicide prevention efforts with generative AI technology. Frontiers in Psychiatry 2025;16 View
  5. Ohu F, Burrell D, Jones L. Public Health Risk Management, Policy, and Ethical Imperatives in the Use of AI Tools for Mental Health Therapy. Healthcare 2025;13(21):2721 View
  6. Howcroft A, Blake H. Empathy by Design: Reframing the Empathy Gap Between AI and Humans in Mental Health Chatbots. Information 2025;16(12):1074 View
  7. Shen Y, Chen B, Zhang H, Shen W, Wu C, Jiang L. Global, regional, and national burden of eating disorders in 204 countries and territories, 1990–2021: findings from the Global Burden of Disease Study 2021. Journal of Eating Disorders 2025;13(1) View
  8. Jalali S, You Q, Xu V, Chen L, Zini J, Zamorano T, Luo Y, Friesen T, Fontana G, Benrimoh D. The Use of Artificial Intelligence for Personalized Treatment in Psychiatry. Current Psychiatry Reports 2025;28(1) View
  9. Bittencourt J, Flores T, Jesus T, Costa D. On the role of AI in building generative urban intelligence. Artificial Intelligence Review 2026 View

Conference Proceedings

  1. Amine I, Lmati I, Anoun H, Ammor F. 2025 International Conference on Intelligent Systems: Theories and Applications (SITA). Use, Performance, and Limitations of Large Language Models in Mental Health: A Systematic Review View