Deep learning for identification of peripheral retinal degeneration using ultra-wide-field fundus images: is it sufficient for clinical translation?

Singapore Eye Research Institute, Singapore, Singapore National Eye Centre, Singapore; Duke-National University of Singapore Medical School, Singapore; Moorfields Eye Hospital, London, UK; National Institute for Health and Research Biomedical Centre, Moorfields Eye Hospital, London, UK; Institute of Ophthalmology, University College London, London, UK Correspondence to: Dawn A. Sim, BSc (Hons), MBBS, FRCOphth, PhD. Consultant Ophthalmic Surgeon, Moorfields Eye Hospital, NHS Foundation Trust, 162 City Road, London EC1V 2PD, London, UK. Email: dawnsim@nhs.net. Provenance and Peer Review: This article was commissioned by the editorial office, Annals of Translational Medicine. The article did not undergo external peer review. Comment on: Li Z, Guo C, Nie D, et al. A deep learning system for identifying lattice degeneration and retinal breaks using ultra-widefield fundus images. Ann Transl Med 2019;7:618.