Service d'ophtalmologie, hôpital universitaire Bretonneau, Inserm 1253 iBrain, Tours, France.
Service d'ophtalmologie, Nantes université, CHU de Nantes, 44000 Nantes, France.
J Fr Ophtalmol. 2023 Sep;46(7):697-705. doi: 10.1016/j.jfo.2023.07.001. Epub 2023 Aug 10.
There is growing interest nowadays for artificial intelligence (AI) in all medical fields. Beyond the direct medical application of AI to medical data, generative AI such as "pre-trained transformer" (GPT) could significantly change the ophthalmology landscape, opening up new avenues for enhancing precision, productivity, and patient outcomes. At present, ChatGPT-4 has been investigated in various ways in ophthalmology for research, medical education, and support for clinical decisions purposes. This article intends to demonstrate the application of ChatGPT-4 within the field of ophthalmology by employing a 'mise en abime' approach. While we explore its potential to enhance the future of ophthalmology care, we will also carefully outline its current limitations and potential risks.
如今，人工智能（AI）在各个医学领域都引起了越来越多的关注。除了 AI 直接应用于医疗数据之外，生成式 AI 如“预训练转换器”（GPT）可以极大地改变眼科领域的格局，为提高精准度、生产力和患者预后开辟新途径。目前，ChatGPT-4 已经在眼科领域以各种方式进行了研究，用于研究、医学教育和支持临床决策目的。本文旨在通过采用“套层结构”的方法，展示 ChatGPT-4 在眼科领域的应用。在探讨其增强眼科未来护理潜力的同时，我们也将仔细概述其当前的局限性和潜在风险。
