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

Digital Health Reviews (1779) Artificial Intelligence (2247) Perinatal Depression; Postpartum Depression; PPD (140) Computer-Aided Diagnosis (268) Depression and Mood Disorders; Suicide Prevention (1731) Machine Learning (2166)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77376, first published .
AI for Detecting and Predicting Postpartum Depression: Scoping Review

AI for Detecting and Predicting Postpartum Depression: Scoping Review

AI for Detecting and Predicting Postpartum Depression: Scoping Review

Authors of this article:

Mais Alkhateeb1, 2, 3 Author Orcid Image ;   Ajisha Nayeem2 Author Orcid Image ;   Arfan Ahmed2 Author Orcid Image ;   Mohammed Alsahli4 Author Orcid Image ;   Javaid Sheikh2 Author Orcid Image ;   Alaa Abd-Alrazaq2 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Dinescu R, Motofelea A, Luminosu P, Loichita M, Motofelea N, Sas I. Risk-Stratified Screening for Perinatal Depression and Anxiety: Integrating Sexual Function, Self-Esteem, and Psychosocial Context. Diagnostics 2026;16(3):412 View