狄宇, 李莹. 人工智能在角膜相关疾病领域的应用研究[J]. 协和医学杂志, 2021, 12(5): 761-767. DOI: 10.12290/xhyxzz.2020-0098
引用本文: 狄宇, 李莹. 人工智能在角膜相关疾病领域的应用研究[J]. 协和医学杂志, 2021, 12(5): 761-767. DOI: 10.12290/xhyxzz.2020-0098
DI Yu, LI Ying. The Application and Research Progress of Artificial Intelligence in Corneal Related Diseases[J]. Medical Journal of Peking Union Medical College Hospital, 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]. Medical Journal of Peking Union Medical College Hospital, 2021, 12(5): 761-767. DOI: 10.12290/xhyxzz.2020-0098

人工智能在角膜相关疾病领域的应用研究

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

  • 摘要: 人工智能(artificial intelligence,AI)是计算机领域的前沿科学,近年来在众多领域发展迅猛,其在眼科的研究和应用也日益增多。AI在角膜相关疾病领域的研究主要包括圆锥角膜的早期诊断及分级、角膜屈光手术相关评估、感染性角膜炎的分类及程度判断、角膜移植术后再干预的评估等,主要采用的算法包括神经网络、支持向量机及决策树,模型的灵敏度和特异度均达90%以上。AI可为医生提供客观的临床决策、为患者提供精准的治疗奠定基础。本文将对近年来AI在角膜相关疾病领域的应用研究进行综述。

     

    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.

     

/

返回文章
返回