International Review of Ophthalmology ›› 2022, Vol. 46 ›› Issue (2): 189-192.doi: 10.3760/cma.j.issn.1673-5803.2022.02.017

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Advances for application of artificial intelligence in refractive surgery

Liu Pan, Shao Zhengbo   

  1. Department of Ophthalmology, Future Medical Laboratory, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
  • Received:2021-07-24 Online:2022-04-22 Published:2022-04-24
  • Contact: Shao Zhengbo, Email: shaozhengbohmu@126.com
  • Supported by:
    National Natural Science Foundation of China (81970799); Heilongjiang Postdoctoral Scientific Research Developmental Fund (LBH-Q18082); Harbin Medical University Graduate Innovation and Practice Research Project (YJSCX2020102HYD)

Abstract: In the field of refractive surgery, artificial intelligence (AI) has been widely applied in screening keratoconus, selecting scheme of refractive surgery, designing nomogram, predicting the postoperative effect of cornea refractive surgery and the vault of implantable collamer lens (ICL). AI could improve the accuracy of subclinical keratoconus screening. AI assisted doctors in selecting scheme of refractive surgery and designing nomogram to improve the postoperative visual quality of patients. AI predicted the postoperative efficacy of cornea refractive surgery and showed a good correlation between the predicted efficacy and actual efficacy. In addition, AI exhibited good performance in predicting the vault of ICL.(Int Rev Ophthalmol, 2022, 46:  189-192)


Key words: artificial intelligence, machine learning, refractive surgery