International Review of Ophthalmology ›› 2024, Vol. 48 ›› Issue (5): 393-399.doi: 10.3760/ cma.j.issn.1673-5803.2024.05.011

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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)

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