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

Digital Health Reviews (1753) Artificial Intelligence (2184) Perinatal Depression; Postpartum Depression; PPD (137) Computer-Aided Diagnosis (258) Depression and Mood Disorders; Suicide Prevention (1712) Machine Learning (2119)

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 Tweetations (3) Metrics

Mais Alkhateeb   1, 2, 3 , PhD ;   Ajisha Nayeem   2 ;   Arfan Ahmed   2 , PhD ;   Mohammed Alsahli   4 , PhD ;   Javaid Sheikh   2 , MD ;   Alaa Abd-Alrazaq   2 , PhD

1 College of Education and Art, Lusail University, Doha, Qatar

2 AI Center for Precision Health, Weill Cornell Medicine-Qatar, Doha, Qatar

3 Computer Science and Engineering, Hamad bin Khalifa University, Qatar Foundation, Doha, Qatar

4 Health Informatics Department, College of Health Science, Saudi Electronic University, Riyadh, Saudi Arabia

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