Artificial Intelligence improves follow-up appointment uptake for diabetic retinal assessment: a systematic review and meta-analysis.

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Bibliographic Details
Title: Artificial Intelligence improves follow-up appointment uptake for diabetic retinal assessment: a systematic review and meta-analysis.
Authors: Rahmati M; CEReSS-Health Service Research and Quality of Life Center, Assistance Publique-Hopitaux de Marseille, Aix-Marseille University, Marseille, France. masoud.rahmati@univ-amu.fr.; CRSMP, Center for Mental Health and Psychiatry Research - PACA, Marseille, France. masoud.rahmati@univ-amu.fr.; Department of Physical Education and Sport Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khoramabad, Iran. masoud.rahmati@univ-amu.fr.; Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran. masoud.rahmati@univ-amu.fr., Smith L; Centre for Health, Performance, and Wellbeing, Anglia Ruskin University, Cambridge, UK., Piyasena MP; Vision and Eye Research Institute, School of Medicine, Anglia Ruskin University, Young Street, Cambridge, UK., Bowen M; The College of Optometrists, London, UK., Boyer L; CEReSS-Health Service Research and Quality of Life Center, Assistance Publique-Hopitaux de Marseille, Aix-Marseille University, Marseille, France.; CRSMP, Center for Mental Health and Psychiatry Research - PACA, Marseille, France., Fond G; CEReSS-Health Service Research and Quality of Life Center, Assistance Publique-Hopitaux de Marseille, Aix-Marseille University, Marseille, France.; CRSMP, Center for Mental Health and Psychiatry Research - PACA, Marseille, France., Kazemi A; Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran., Yon DK; Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea.; Department of Pediatrics, Kyung Hee University College of Medicine, Seoul, Republic of Korea., Lee H; Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea., Sehmbi T; Vision and Eye Research Institute, School of Medicine, Anglia Ruskin University, Young Street, Cambridge, UK., Ahluwalia S; Head of School of Medicine, Anglia Ruskin University, Chelmsford, England., Pardhan S; Vision and Eye Research Institute, School of Medicine, Anglia Ruskin University, Young Street, Cambridge, UK. shahina.pardhan@aru.ac.uk.; Centre for Inclusive Community Eye Health, Anglia Ruskin University, Cambridge, UK. shahina.pardhan@aru.ac.uk.
Source: Eye (London, England) [Eye (Lond)] 2025 Aug; Vol. 39 (12), pp. 2398-2406. Date of Electronic Publication: 2025 May 30.
Publication Type: Journal Article; Systematic Review; Meta-Analysis
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 8703986 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-5454 (Electronic) Linking ISSN: 0950222X NLM ISO Abbreviation: Eye (Lond) Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1476-5454
DOI:10.1038/s41433-025-03849-4