Diagnostic Accuracy of Artificial Intelligence-Based Automated Diabetic Retinopathy Screening in Real-World Settings: A Systematic Review and Meta-Analysis.

Abstract

Authors

• Sanil Joseph
  From the Centre for Eye Research Australia (S.J, X.S, M.H), Royal Victorian Eye and Ear Hospital, East Melbourne, Australia; Department of Surgery (Ophthalmology) (S.J, X.S, M.H), The University of Melbourne, Melbourne, Australia; Lions Aravind Institute of Community Ophthalmology (S.J, J.S, T.R), Aravind Eye Care System. Madurai, India. Electronic address: sanil@aravind.org.
• Jerrome Selvaraj
  Lions Aravind Institute of Community Ophthalmology (S.J, J.S, T.R), Aravind Eye Care System. Madurai, India.
• Iswarya Mani
  Aravind Eye Hospital and Postgraduate Institute of Ophthalmology (I.M, T.K), Madurai, India.
• Thandavarayan Kumaragurupari
  Aravind Eye Hospital and Postgraduate Institute of Ophthalmology (I.M, T.K), Madurai, India.
• Xianwen Shang
  Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia.
• Poonam Mudgil
  School of Medicine (P.M), Western Sydney University, Campbell town, Australia; School of Rural Medicine (P.M), Charles Sturt University, Orange, NSW, Australia.
• Thulasiraj Ravilla
  Lions Aravind Institute of Community Ophthalmology (S.J, J.S, T.R), Aravind Eye Care System. Madurai, India.
• Mingguang He
  State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China; Centre for Eye Research Australia; Departments of Ophthalmology and Surgery, University of Melbourne, Melbourne, Australia. Electronic address: mingguang.he@unimelb.edu.au.

Keywords

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