Deep learning versus ophthalmologists for screening for glaucoma on fundus examination: A systematic review and meta‐analysis

Author:

Buisson Mathieu1,Navel Valentin12ORCID,Labbé Antoine345,Watson Stephanie L.67,Baker Julien S.8,Murtagh Patrick9,Chiambaretta Frédéric12,Dutheil Frédéric10

Affiliation:

1. CHU Clermont‐Ferrand, Ophthalmology University Hospital of Clermont‐Ferrand Clermont‐Ferrand France

2. CNRS UMR 6293, INSERM U1103, Genetic Reproduction and Development Laboratory (GReD), Translational Approach to Epithelial Injury and Repair Team Université Clermont Auvergne Clermont‐Ferrand France

3. Department of Ophthalmology III Quinze‐Vingts National Ophthalmology Hospital, IHU FOReSIGHT Paris France

4. Sorbonne Université INSERM, CNRS, Institut de la Vision Paris France

5. Department of Ophthalmology, Ambroise Paré Hospital, APHP Université de Versailles Saint‐Quentin en Yvelines Versailles France

6. Save Sight Institute, Discipline of Ophthalmology, Faculty of Medicine and Health The University of Sydney Sydney New South Wales Australia

7. Corneal Unit Sydney Eye Hospital Sydney New South Wales Australia

8. Centre for Health and Exercise Science Research, Department of Sport, Physical Education and Health Hong Kong Baptist University Kowloon Tong Hong Kong

9. Department of Ophthalmology Royal Victoria Eye and Ear Hospital Dublin Ireland

10. Université Clermont Auvergne CNRS, LaPSCo, Physiological and Psychosocial Stress, CHU Clermont‐Ferrand, University Hospital of Clermont‐Ferrand, Preventive and Occupational Medicine, Witty Fit Clermont‐Ferrand France

Publisher

Wiley

Subject

Ophthalmology

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