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

Reviews in AI (204) Clinical Information and Decision Making (3845) Decision Support for Health Professionals (2310) Diabetes (349) Artificial Intelligence (4932) Precision Medicine (453) Artificial Intelligence in Diabetes Care and Prevention (114) Applications of AI (1054)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86960, first published .
Person using a glucose meter to check blood sugar levels at home

AI-Enabled Personalization of Semaglutide Therapy in Type 2 Diabetes: Systematic Review With an Integration Framework

AI-Enabled Personalization of Semaglutide Therapy in Type 2 Diabetes: Systematic Review With an Integration Framework

Authors of this article:

Ghinwa Barakat1 Author Orcid Image ;   Samer El Hajj Hassan2, 3, 4 Author Orcid Image ;   Hanane Akhdar1, 5 Author Orcid Image ;   Nghia Duong-Trung2 Author Orcid Image ;   Wiam Ramadan1, 6 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Wu T, Cai W, Li Z. From explainability to clinical actionability: translating artificial intelligence models into decision support for endocrine disease management. Frontiers in Endocrinology 2026;17 View
  2. Elsayed A, Ayoub W, Elsayed N, Stephens J, Udongwo N, Elsayed Y, Ghali J. GLP-1 receptor agonists beyond glycemic control: integrated cardio-renal-metabolic protection across the cardiovascular kidney metabolic continuum. Cardiovascular Diabetology – Endocrinology Reports 2026;12(1) View