将生成式人工智能应用于眼科领域

IF 3.7 2区 医学 Q1 OPHTHALMOLOGY
Frank Larkin, Mingguang He
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引用次数: 0

摘要

眼科一直处于人工智能(AI)医学研究的前沿。在某种程度上,这是由于眼部结构的透明性和详细成像的可行性,这有利于数据提取和高质量的数字图像数据库。眼科在人工智能研究中占据突出地位的另一个原因是,从眼部图像和测量中提取的数据可用于预测和检测非眼部特有的疾病,如心力衰竭、缺血性中风和帕金森病1。目前,《北京青年报》每月至少收到 15 篇关于人工智能的稿件,我们决定在 2023 年底征集关于眼科中的生成式人工智能的专题版稿件,特别展示眼科在生成式人工智能方面的研究活动。我们感谢特邀编辑 Pearse Keane(英国伦敦大学学院莫菲尔德眼科医院)和 Aaron Lee(美国华盛顿大学西雅图分校)为本期 BJO ...
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Embracing generative AI in ophthalmology
Ophthalmology has been at the forefront of research on artificial intelligence (AI) in medicine. To some extent, this is due to the transparency of eye structures and the feasibility of detailed imaging, which lends itself to data extraction and high-quality databanks of digital images. Nor is that all: another reason for the pre-eminence of ophthalmology in AI research is the potential use of data taken from eye images and measurements to predict and detect diseases which are not eye-specific such as heart failure, ischaemic stroke and Parkinson’s disease.1 At a time when the BJO is receiving manuscripts on AI at a rate of at least 15 per month, we decided to showcase the ophthalmic research activity in generative AI in particular, with a call in late 2023 for manuscripts for a Special Topic edition on Generative AI in Ophthalmology. We are grateful to guest editors Pearse Keane (Moorfields Eye Hospital & University College London, UK) and Aaron Lee (University of Washington, Seattle, Washington, USA) for their contributions to this BJO …
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来源期刊
CiteScore
10.30
自引率
2.40%
发文量
213
审稿时长
3-6 weeks
期刊介绍: The British Journal of Ophthalmology (BJO) is an international peer-reviewed journal for ophthalmologists and visual science specialists. BJO publishes clinical investigations, clinical observations, and clinically relevant laboratory investigations related to ophthalmology. It also provides major reviews and also publishes manuscripts covering regional issues in a global context.
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