Artificial Intelligence for Glaucoma: Creating and Implementing Artificial Intelligence for Disease Detection and Progression

Collaborative Community for Ophthalmic Imaging Executive Committee and Glaucoma Workgroup

Research output: Contribution to journalArticlepeer-review

Abstract

On September 3, 2020, the Collaborative Community on Ophthalmic Imaging conducted its first 2-day virtual workshop on the role of artificial intelligence (AI) and related machine learning techniques in the diagnosis and treatment of various ophthalmic conditions. In a session entitled “Artificial Intelligence for Glaucoma,” a panel of glaucoma specialists, researchers, industry experts, and patients convened to share current research on the application of AI to commonly used diagnostic modalities, including fundus photography,OCT imaging, standard automated perimetry, and gonioscopy. The conference participants focused on the use of AI as a tool for disease prediction, highlighted its ability to address inequalities, and presented the limitations of and challenges to its clinical application. The panelists’ discussion addressed AI and health equities from clinical, societal, and regulatory perspectives.

Original languageEnglish (US)
JournalOphthalmology Glaucoma
DOIs
StatePublished - Sep 1 2022

Keywords

  • Artificial intelligence
  • Deep learning
  • Glaucoma
  • Imaging

ASJC Scopus subject areas

  • Ophthalmology

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