Published on in Vol 13 (2026)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/83352, first published
.
Prediction of 12-Week Remission in Patients With Depressive Disorder Using Reasoning-Based Large Language Models: Model Development and Validation Study
Prediction of 12-Week Remission in Patients With Depressive Disorder Using Reasoning-Based Large Language Models: Model Development and Validation Study
Journals
- Kwon S, Kim Y, Jhon M, Park J, Lim B, Jeon E, Kim J, Kim J, Lee H. On-premises open-source large language models for privacy-preserving multimodal depression screening. International Journal of Medical Informatics 2026;220:106577 View
- Shaw S, Bell D. Acceptability of AI-Assisted Psychotherapy to Prospective Patients and Their Intent to Continue Treatment: A Vignette Study. American Journal of Psychotherapy 2026 View
- Babirye S, Huang R, Zeng C, Mutinye J, Kemigisha B, Wamala K, Kasujja R, Kalani K, Andres Martinez R, Nakimuli-Mpungu E. Development and External Validation of a Treatment-Adjusted Machine Learning Model to Support Risk-Informed Group-Based Depression Care for People Living with HIV in Uganda. Wellcome Open Research 2026;11:203 View
- Jeong I, Park S, Jhon M, Kim D, Park J, Kim Y, Jang M, Kim J, Kim J, Lee H. Evaluating Large Language Model–Derived Outputs as Psychological Measures: A Five-Domain Psychometric Framework With Application to Daily Stress. Journal of Medical Internet Research 2026;28:e102768 View