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
    StateAccepted/In press - 2022

    Keywords

    • Artificial intelligence
    • Deep learning
    • Glaucoma
    • Imaging

    ASJC Scopus subject areas

    • Ophthalmology

    Fingerprint

    Dive into the research topics of 'Artificial Intelligence for Glaucoma: Creating and Implementing Artificial Intelligence for Disease Detection and Progression'. Together they form a unique fingerprint.

    Cite this