Deep Learning Applications in Ophthalmology

Authors and Disclosures

Ehsan Rahimy

Department of Ophthalmology, Palo Alto Medical Foundation, Palo Alto, California, USA

Correspondence to
Ehsan Rahimy, MD, Department of Ophthalmology, Palo Alto Medical Foundation, 795 El Camino Real, Palo Alto, CA 94301, USA. Tel: +1 650 321 4121; fax: +1 650 853 6086; e-mail: erahimy@gmail.com

Conflicts of interest
E.R. is a consultant for Google and Allergan [through the Fostering Innovative Retina Stars of Tomorrow (FIRST) Program].

Sidebar

Key Points

• Deep learning has been demonstrated in numerous studies to detect and diagnose various ophthalmic diseases favorably compared with human graders.

• Additional clinical validation of deep learning models is required before it can be fully implemented in clinical practice.

• Immediate future implications of deep learning in ophthalmology would include automated image analysis for potential use in teleretinal screening programs.