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

Digital Health Reviews (3505) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (2298) Patient Experiences with Diabetes Technology (62) Reviews on Diabetes Technologies and Innovations (90) Diabetes Prevention (164) Artificial Intelligence (4532)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/87882, first published .
Man using a continuous glucose monitor (CGM) and smartphone

Performance of AI in Predicting the Progression of Gestational Diabetes to Type 2 Diabetes: Systematic Review and Meta-Analysis

Performance of AI in Predicting the Progression of Gestational Diabetes to Type 2 Diabetes: Systematic Review and Meta-Analysis

Authors of this article:

Alaa Abd-alrazaq1, 2 Author Orcid Image ;   Shahira Padinharepattel Mohamed3 Author Orcid Image ;   Mohannad Alajlani4 Author Orcid Image ;   Aliya Tabassum5 Author Orcid Image ;   José Manuel Ordóñez-Mena6 Author Orcid Image ;   Shehel Yoosuf1 Author Orcid Image ;   Mais Alkhateeb1 Author Orcid Image ;   Arfan Ahmed1 Author Orcid Image ;   Mohammed Bashir7 Author Orcid Image ;   Junaid Qadir5 Author Orcid Image ;   Ali AlSanousi8 Author Orcid Image ;   Javaid Sheikh1 Author Orcid Image
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