Artificial Intelligence in Ophthalmic Surgery: Current Applications and Expectations

Maimaiti Nuliqiman, Mingyu Xu, Yiming Sun, Jing Cao, Pengjie Chen, Qi Gao, Peifang Xu, Juan Ye Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang Provincial Key Laboratory of Ophthalmology, Zhejiang Provincial Clinical Research Center for Eye Diseases, Zhejiang Provincial Engineering Institute on Eye Diseases, Hangzhou, Zhejiang, People’s Republic of ChinaCorrespondence: Peifang Xu; Juan Ye, Tel +86-571-8778-3897, Fax +86-571-8706-8001, Email xpf1900@zju.edu.cn; yejuan@zju.edu.cnAbstract: Artificial Intelligence (AI) has found rapidly growing applications in ophthalmology, achieving robust recognition and classification in most kind of ocular diseases. Ophthalmic surgery is one of the most delicate microsurgery, requiring high fineness and stability of surgeons. The massive demand of the AI assist ophthalmic surgery will constitute an important factor in boosting accelerate precision medicine. In clinical practice, it is instrumental to update and review the considerable evidence of the current AI technologies utilized in the investigation of ophthalmic surgery involved in both the progression and innovation of precision medicine. Bibliographic databases including PubMed and Google Scholar were searched using keywords such as “ophthalmic surgery”, “surgical selection”, “candidate screening”, and “robot-assisted surgery” to find articles about AI technology published from 2018 to 2023. In addition to the Editorials and letters to the editor, all types of approaches are considered. In this paper, we will provide an up-to-date review of artificial intelligence in eye surgery, with a specific focus on its application to candidate screening, surgery selection, postoperative prediction, and real-time intraoperative guidance.Keywords: ophthalmic surgery, AI, machine learning, surgery selection, candidate screening, robot-assisted surgery