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

Journal: Eye (London, England)
Published Date:

Abstract

BACKGROUND/OBJECTIVES: Artificial intelligence (AI) assessment of diabetic retinopathy (DR) instead of scarce trained specialists could potentially increases the efficiency and accessibility of screening programs. This systematic review aims to systematically examine the uptake of follow-up appointments with initial computer-based AI and human graders of DR.

Authors

  • Masoud Rahmati
    Research Centre on Health Services and Quality of Life, Aix Marseille University, Marseille, France.
  • Lee Smith
    Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK.
  • Mapa Prabhath Piyasena
    Vision and Eye Research Institute, School of Medicine, Anglia Ruskin University, Young Street, Cambridge, UK.
  • Michael Bowen
    The College of Optometrists, London, UK.
  • Laurent Boyer
    Aix-Marseille University, EA 3279 - Public Health, Chronic Diseases and Quality of Life - Research Unit, La Timone Medical University, 27, boulevard Jean-Moulin.
  • Guillaume Fond
    Aix-Marseille University, EA 3279 - Public Health, Chronic Diseases and Quality of Life - Research Unit, La Timone Medical University, 27, boulevard Jean-Moulin.
  • Abdolreza Kazemi
    Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran.
  • Dong Keon Yon
    Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
  • Hayeon Lee
    Department of Biomedical Engineering, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Yongin, 17104, South Korea.
  • Tarnjit Sehmbi
    Vision and Eye Research Institute, School of Medicine, Anglia Ruskin University, Young Street, Cambridge, UK.
  • Sanjiv Ahluwalia
    Head of School of Medicine, Anglia Ruskin University, Chelmsford, England.
  • Shahina Pardhan
    Vision and Eye Research Institute, School of Medicine, Anglia Ruskin University, Young Street, Cambridge, UK. shahina.pardhan@aru.ac.uk.

Keywords

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