Accessibility settings

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

Reviews in Digital Mental Health (563) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3259) Depression and Mood Disorders; Suicide Prevention (2489) Machine Learning (3242)

Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/89352, first published .
Doctor explains brain scan results to patient on laptop.

Machine Learning for Comparative Antidepressant Selection in Major Depressive Disorder: Systematic Review

Machine Learning for Comparative Antidepressant Selection in Major Depressive Disorder: Systematic Review

Authors of this article:

Fiona He1 Author Orcid Image ;   Steven Huang2, 3 Author Orcid Image ;   Richard Wang4 Author Orcid Image ;   Aland Chang2 Author Orcid Image ;   Jennifer L Phillips5 Author Orcid Image ;   Christopher Sun3, 6 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Baune B. Pharmaco-multiomics in major depressive disorder: a narrative review and proposed translational framework for difficult-to-treat and treatment-resistant depression. Frontiers in Pharmacology 2026;17 View