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Artificial intelligence for predicting antiretroviral therapy outcomes in people living with HIV: A systematic review of predictive models, predictors and clinical readiness.

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Bibliographic Details
Title: Artificial intelligence for predicting antiretroviral therapy outcomes in people living with HIV: A systematic review of predictive models, predictors and clinical readiness.
Authors: Dejene BE; Department of Computer Science, Bahir Dar University, Bahir Dar, Ethiopia.; Armauer Hansen Research Institute (AHRI), Addis Ababa, Ethiopia.; Department of Information Science, University of Gondar, Gondar, Ethiopia., Assabie Y; Department of Computer Science, Addis Ababa University, Addis Ababa, Ethiopia., Tadele M; Armauer Hansen Research Institute (AHRI), Addis Ababa, Ethiopia., Adnew B; Armauer Hansen Research Institute (AHRI), Addis Ababa, Ethiopia., Tsegaye R; Ethiopian Artificial Intelligence Institute, Addis Ababa, Ethiopia., Sintayehu Y; Armauer Hansen Research Institute (AHRI), Addis Ababa, Ethiopia., Alemu A; Armauer Hansen Research Institute (AHRI), Addis Ababa, Ethiopia., Howe R; Armauer Hansen Research Institute (AHRI), Addis Ababa, Ethiopia., Girma T; Fenot Project, School of Population and Public Health, Harvard University, Addis Ababa, Ethiopia., Tegegne T; Department of Computer Science, Bahir Dar University, Bahir Dar, Ethiopia., Abdissa A; Armauer Hansen Research Institute (AHRI), Addis Ababa, Ethiopia.
Source: HIV medicine [HIV Med] 2026 Jul 08. Date of Electronic Publication: 2026 Jul 08.
Publication Type: Journal Article; Review
Journal Info: Publisher: Wiley Country of Publication: England NLM ID: 100897392 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1468-1293 (Electronic) Linking ISSN: 14642662 NLM ISO Abbreviation: HIV Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1468-1293
DOI:10.1111/hiv.70277