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 …

中文翻译：

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在眼科领域拥抱生成式人工智能


眼科一直处于医学人工智能（AI）研究的前沿。在某种程度上，这是由于眼睛结构的透明度和详细成像的可行性，这有助于数据提取和数字图像的高质量数据库。这还不是全部：眼科在人工智能研究中占据主导地位的另一个原因是，可以利用从眼睛图像和测量中获取的数据来预测和检测非眼睛特定的疾病，例如心力衰竭、缺血性中风和帕金森病.1 当 BJO 以每月至少 15 份的速度收到人工智能手稿时，我们决定特别展示生成人工智能领域的眼科研究活动，并呼吁在 2023 年末征集专题版手稿眼科生成人工智能。我们感谢客座编辑 Pearse Keane（英国莫菲尔德眼科医院和伦敦大学学院）和 Aaron Lee（美国华盛顿州西雅图华盛顿大学）对本 BJO 的贡献……