Diving Deep into Deep Learning: an Update on Artificial Intelligence in Retina

Brian E. Goldhagen, Hasenin Al-khersan

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations


Purpose of Review: In the present article, we will provide an understanding and review of artificial intelligence in the subspecialty of retina and its potential applications within the specialty. Recent Findings: Given the significant use of diagnostic imaging within retina, this subspecialty is a fitting area for the incorporation of artificial intelligence. Researchers have aimed at creating models to assist in the diagnosis and management of retinal disease as well as in the prediction of disease course and treatment response. Most of this work thus far has focused on diabetic retinopathy, age-related macular degeneration, and retinopathy of prematurity, although other retinal diseases have started to be explored as well. Summary: Artificial intelligence is well-suited to transform the practice of ophthalmology. A basic understanding of the technology is important for its effective implementation and growth.

Original languageEnglish (US)
Pages (from-to)121-128
Number of pages8
JournalCurrent Ophthalmology Reports
Issue number3
StatePublished - Sep 1 2020


  • Age-related macular degeneration
  • Artificial intelligence
  • Diabetic retinopathy
  • Machine learning
  • Neural networks
  • Retinopathy of prematurity

ASJC Scopus subject areas

  • Ophthalmology


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