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JOURNAL OF MECHANICAL ENGINEERING  > 2021  >  12(5): 761-767.
DI Yu, LI Ying. The Application and Research Progress of Artificial Intelligence in Corneal Related Diseases[J]. JOURNAL OF MECHANICAL ENGINEERING, 2021, 12(5): 761-767. doi: 10.12290/xhyxzz.2020-0098
Citation: DI Yu, LI Ying. The Application and Research Progress of Artificial Intelligence in Corneal Related Diseases[J]. JOURNAL OF MECHANICAL ENGINEERING, 2021, 12(5): 761-767. doi: 10.12290/xhyxzz.2020-0098
shu

The Application and Research Progress of Artificial Intelligence in Corneal Related Diseases

doi: 10.12290/xhyxzz.2020-0098
Funds:

Bethune·Dry eye Diagnosis and Treatment Research Project BJ-GY2021015J

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  • Corresponding author: LI Ying  Tel: 86-10-69152733, E-mail: liyingpumch@126.com
  • Received Date: 27 Dec 2020
  • Accepted Date: 11 Jan 2021
    • Available Online: 26 Nov 2021
  • Publish Date: 01 Sep 2021
  • Issue Publish Date: 30 Sep 2021
    Abstract
  • Artificial intelligence(AI)is the frontier of computer science. In recent years, AI has developed rapidly in many fields, and its research in ophthalmology is also increasing. The research of AI in corneal related diseases mainly includes the early diagnosis and grading of keratoconus, preoperative evaluation of corneal refractive surgery, prediction of surgical parameters, judgment of the classification and degree of infectious keratitis, evaluation of reintervention after corneal transplantation, auxiliary detection of corneal nerve endings in diabetic peripheral neuropathy, and screening of pterygium. Through the neural network, the support vector machine, and the decision tree, the sensitivity and specificity of the model can reach more than 90%. AI can provide objective clinical decision-making for clinicians and precise clinical treatments for patients. This article reviews the research of AI in corneal diseases in recent years.

     

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