Departments of Ophthalmology and Bioengineering, University of Illinois Chicago.
Department of Ophthalmology, University of California at Los Angeles, Los Angeles, California, USA.
Curr Opin Ophthalmol. 2024 Nov 1;35(6):526-532. doi: 10.1097/ICU.0000000000001033. Epub 2024 Aug 14.
Technologies in healthcare incorporating artificial intelligence tools are experiencing rapid growth in static-image-based applications such as diagnostic imaging. Given the proliferation of artificial intelligence (AI)-technologies created for video-based imaging, ophthalmic microsurgery is likely to experience significant benefits from the application of emerging technologies to multiple facets of the care of the surgical patient.
Proof-of-concept research and early phase clinical trials are in progress for AI-based surgical technologies that aim to provide preoperative planning and decision support, intraoperative image enhancement, surgical guidance, surgical decision-making support, tactical assistive technologies, enhanced surgical training and assessment of trainee progress, and semi-autonomous tool control or autonomous elements of surgical procedures.
The proliferation of AI-based technologies in static imaging in clinical ophthalmology, continued refinement of AI tools designed for video-based applications, and development of AI-based digital tools in allied surgical fields suggest that ophthalmic surgery is poised for the integration of AI into our microsurgical paradigm.
将人工智能工具融入医疗技术的领域在静态影像为基础的应用中正在迅速发展，如诊断影像。鉴于为基于视频的影像而创建的人工智能 (AI) 技术的扩散，眼科显微手术很可能会从将新兴技术应用于手术患者护理的多个方面中受益。
基于人工智能的手术技术的概念验证研究和早期临床试验正在进行中，这些技术旨在提供术前规划和决策支持、术中图像增强、手术指导、手术决策支持、战术辅助技术、增强手术培训和评估学员进展，以及半自动工具控制或手术程序的自主元素。
临床眼科中基于人工智能的技术在静态成像方面的扩散，为基于视频应用设计的人工智能工具的不断完善，以及在相关外科领域中基于人工智能的数字工具的发展，都表明眼科手术已经准备好将人工智能融入我们的显微手术模式。
