Saad Amr, Turgut Ferhat, Becker Matthias, DeBuc Delia, Somfai Gabor Mark
Department of Ophthalmology, Stadtspital Zurich Triemli, Zurich, Switzerland.
Spross Research Institute, Zurich, Switzerland.
Klin Monbl Augenheilkd. 2025 Apr;242(4):515-520. doi: 10.1055/a-2543-4330. Epub 2025 Apr 16.
Artificial intelligence (AI) is gaining widespread traction in ophthalmology, with multiple screening and diagnostic tools already being approved by U. S. and EU authorities. However, the adoption of these tools among medical professionals and their acceptance among patients is still questionable. This narrative review analyses the current literature on stakeholder perspectives on the integration of AI in ophthalmology, with a focus on comparing views across different global healthcare contexts. A PubMed search was conducted for original research articles published between January 1, 2015 and August 31, 2024. The analysis revealed different levels of acceptance for different AI applications among different stakeholder groups. Ophthalmologists and optometrists generally showed positive attitudes toward AI as an adjunct tool, while patients expressed mixed views, appreciating potential benefits while expressing concerns about a lack of transparency in the integration of AI into healthcare. This review reveals a complex landscape of stakeholder perspectives on AI in ophthalmology, highlighting the need for tailored approaches to AI implementation that address specific concerns and consider different healthcare contexts. The findings underscore the importance of collaborative efforts to develop context-specific, effective AI solutions in ophthalmology.
人工智能（AI）在眼科领域正获得广泛关注，已有多种筛查和诊断工具获得美国和欧盟当局批准。然而，这些工具在医学专业人员中的采用情况以及在患者中的接受程度仍存在疑问。这篇叙述性综述分析了当前关于利益相关者对眼科领域人工智能整合观点的文献，重点是比较不同全球医疗背景下的观点。在PubMed上搜索了2015年1月1日至2024年8月31日期间发表的原创研究文章。分析显示，不同利益相关者群体对不同人工智能应用的接受程度不同。眼科医生和验光师总体上对人工智能作为辅助工具持积极态度，而患者则看法不一，他们既认可潜在益处，同时也对人工智能融入医疗保健过程中缺乏透明度表示担忧。这篇综述揭示了利益相关者对眼科领域人工智能看法的复杂局面，强调需要采取针对性方法来实施人工智能，以解决具体问题并考虑不同的医疗背景。研究结果强调了合作开发眼科领域特定背景下有效人工智能解决方案的重要性。
