Published on in Vol 25 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/45184, first published
.
![Gender Bias When Using Artificial Intelligence to Assess Anorexia Nervosa on Social Media: Data-Driven Study Gender Bias When Using Artificial Intelligence to Assess Anorexia Nervosa on Social Media: Data-Driven Study](https://asset.jmir.pub/assets/87b1d7e4bace236110fb74506afb3439.png 480w,https://asset.jmir.pub/assets/87b1d7e4bace236110fb74506afb3439.png 960w,https://asset.jmir.pub/assets/87b1d7e4bace236110fb74506afb3439.png 1920w,https://asset.jmir.pub/assets/87b1d7e4bace236110fb74506afb3439.png 2500w)
Journals
- Cuzzolaro M. Artificial intelligence and eating disorders: a commentary. Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity 2023;28(1) View
- Khoo L, Lim M, Chong C, McNaney R. Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches. Sensors 2024;24(2):348 View
- Norris M, Obeid N, El‐Emam K. Examining the role of artificial intelligence to advance knowledge and address barriers to research in eating disorders. International Journal of Eating Disorders 2024;57(6):1357 View
- Kim Y, Serpedin A, Periyakoil P, German D, Rameau A. Sociodemographic reporting in videomics research: a review of practices in otolaryngology - head and neck surgery. European Archives of Oto-Rhino-Laryngology 2024 View
Books/Policy Documents
- Rubeis G. Ethics of Medical AI. View