用于青光眼的人工智能：创建并实施用于疾病检测和病情进展的人工智能
Artificial Intelligence for Glaucoma: Creating and Implementing Artificial Intelligence for Disease Detection and Progression.
作者信息
Al-Aswad Lama A, Ramachandran Rithambara, Schuman Joel S, Medeiros Felipe, Eydelman Malvina B
机构信息
Department of Ophthalmology, NYU Langone Health, NYU Grossman School of Medicine, New York, New York; Department of Population Health, NYU Langone Health, NYU Grossman School of Medicine, New York, New York.
Department of Ophthalmology, NYU Langone Health, NYU Grossman School of Medicine, New York, New York.
出版信息
Ophthalmol Glaucoma. 2022 Sep-Oct;5(5):e16-e25. doi: 10.1016/j.ogla.2022.02.010. Epub 2022 Feb 24.
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.
2020年9月3日，眼科影像协作社区举办了首次为期两天的虚拟研讨会，主题是人工智能（AI）及相关机器学习技术在各种眼科疾病诊断和治疗中的作用。在一场名为“青光眼的人工智能”的会议上，由青光眼专家、研究人员、行业专家和患者组成的小组齐聚一堂，分享了关于AI在常用诊断方式（包括眼底照相、光学相干断层扫描成像、标准自动视野计和前房角镜检查）中的应用的当前研究。会议参与者聚焦于将AI用作疾病预测工具，强调其解决不平等问题的能力，并介绍了其临床应用的局限性和挑战。小组成员从临床、社会和监管角度讨论了AI与健康公平性问题。
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