人工智能在青光眼诊疗中的应用

青光眼是世界首位不可逆致盲眼病,由于其隐匿性与渐进性,临床上早期诊断及监测青光眼进展是一项十分重要的工作。人工智能(AI)在医学领域发展迅速,AI及其子集机器学习(ML)、深度学习(DL)在青光眼中的研究与应用日臻成熟,促进了人们对青光眼的理解,极大地提高了青光眼筛查与诊断的准确性与效率,大大降低了检查成本。利用AI技术对青光眼患者进行早期筛查与诊断能降低患者视功能损伤的风险,其次可以对青光眼进展进行预测,设计个性化治疗方案,从而达到改善患者预后的目的。本文总结了AI在青光眼筛查、诊断、预后中的最新进展,以及在临床上的困难与挑战,并展望了AI在青光眼中的优势与未来发展趋势。

Application of artificial intelligence in glaucoma diagnosis and treatment

Glaucoma is the first irreversible eye disease leading to blindness of the world. Due to its insidious and progressive nature, early diagnosis and monitoring of glaucoma progression is very important in clinical practice. Artificial intelligence(AI)is developing rapidly in the medical field. The research and application of AI and its subsets of machine learning(ML)and deep learning(DL)in glaucoma are becoming increasingly mature, which promotes human understanding of glaucoma, greatly improves the accuracy and efficiency of glaucoma screening and diagnosis, and greatly reduces the cost of examination. Using AI technology for early screening and diagnosis of glaucoma patients can reduce the risk of visual impairment of patients, and second, it can predict the progression of glaucoma and design personalized treatment plans, so as to improve the prognosis of patients. This paper summarizes the new progress of AI in glaucoma screening, diagnosis, and prognosis, the clinical difficulties and challenges, and prospects the advantages and future development trends of AI in glaucoma.