国际眼科纵览 ›› 2024, Vol. 48 ›› Issue (5): 393-399.doi: 10.3760/ cma.j.issn.1673-5803.2024.05.011

• 综述 • 上一篇    下一篇

人工智能在眼科手术中的应用

王烽1蓝诚红1彭静1邵毅2   

  1. 1 广东省梅州市人民医院眼科,广东 梅州 514000; 2 上海交通大学医学院附属第一人民医院眼科 国家眼部疾病临床医学研究中心,上海 200031
  • 收稿日期:2024-06-19 出版日期:2024-10-22 发布日期:2024-10-15
  • 通讯作者: 邵毅,Email:freebee99@163.com
  • 基金资助:
    国家自然科学基金(82160195);广东省梅州市医药卫生科研立项课题(2023-B-32);广东省梅州市人民医院科研培育项目(PY-C2021060)

The application of artificial intelligence in ophthalmic surgery

Wang Feng1, Lan Chenghong1, Peng Jing1, Shao Yi2   

  1. 1 Department of Ophthalmology, Meizhou Pepole’s Hospital, Meizhou Guangdong 514000, China; 2 Department of Ophthalmology, Shanghai Jiaotong  University Affiliated First People's Hospital, National Clinical Research Center for Eye Diseases, Shanghai 200031, China
  • Received:2024-06-19 Online:2024-10-22 Published:2024-10-15
  • Contact: Shao Yi, Email: freebee99@163.com
  • Supported by:
    National Natural Science Foundation of China (82160195); Medical and Health Research Project of Guangdong Meizhou (2023-B-32); Research and Cultivation Project of Guangdong Meizhou People's Hospital (PY-2021060)

摘要: 眼科手术是最精细的显微外科手术之一,人工智能(artificial intelligence,AI)辅助眼科手术的巨大需求将成为加速精准医疗的重要因素。目前AI已应用于屈光手术、角膜移植术、眼整形手术、白内障手术和玻璃体视网膜手术等,如通过对临床数据进行分析可有助于作出有效的术前规划,机器人指导手术方法可提高术中安全性和准确性,预测手术时机和术后并发症有助于外科医生做出更好的临床决策。然而,AI在眼科手术中还需要优化深度学习算法和制定实时评估可用的系统。AI有可能成为眼科手术的重要辅助工具,以改善患者的治疗效果。 (国际眼科纵览,2024, 48:393-399)

关键词: 人工智能, 眼科手术, 机器学习

Abstract: Ophthalmic surgery is one of the most delicate microsurgical procedures, and the huge demand for artificial intelligence (AI) assisted ophthalmic surgery will become an important factor in accelerating precision medicine. It has been applied to refractive surgery, corneal transplantation, oculoplastic surgery, cataract surgery, and vitreoretinal surgery, etc. For example, the analysis of clinical data can help to make effective preoperative planning, robotic-guided surgical methods can improve intraoperative safety and accuracy, and the prediction of surgical timing and postoperative complications can help surgeons to make better clinical decisions. However, AI in ophthalmic surgery still requires optimization of deep learning algorithms and the development of systems that allow for real-time evaluation.  AI has the potential to become an important aid in ophthalmic surgery to improve patient outcomes. (Int Rev Ophthalmol, 2024, 48:  393-399)

Key words: artificial intelligence, ophthalmic surgery, machine learning