基于角膜生物力学特性的早期圆锥角膜智能诊断研究进展  

Research progress in intelligent diagnosis of early keratoconus based on corneal biomechanical properties

作　　者：陈萱(综述) 王雁(审校) Chen Xuan;Wang Yan(School of Medicine,Nankai University,Nankai Eye Institute,Nankai University,Tianjin Eye Hospital,Nankai University Affiliated Eye Hospital,Tianjin Eye Institute,Tianjin Key Laboratory of Ophthalmology and Visual Science,Clinical College of Ophthalmology,Tianjin Medical University,Tianjin 300020,China)

机构地区：[1]南开大学医学院,南开大学眼科学研究院,天津市眼科医院,南开大学附属眼科医院,天津市眼科研究所,天津市眼科学与视觉科学重点实验室,天津医科大学眼科临床学院,天津300020

出　　处：《中华实验眼科杂志》2024年第12期1163-1168,共6页Chinese Journal Of Experimental Ophthalmology

基　　金：国家重点研发计划(2022YFC2404502);国家自然科学基金(82271118);南开大学眼科学研究院开放基金(NKYKD202209);天津市科技计划(21JCZDJC01190);天津市卫生健康科技项目(TJWJ2022XK036);天津市医学重点学科(专科)建设项目(TJYXZDXK-016A)。

摘　　要：角膜生物力学特性已被证明在维持角膜的正常结构、检测扩张性疾病的发生和发展、青光眼筛查、屈光手术的评估等方面均具有重要作用。人工智能作为一种重要的辅助工具,已被广泛应用于医学、生物学等领域。目前,圆锥角膜诊断标准不一,早期圆锥角膜的发现和诊断更为困难,对眼科医师,尤其是屈光医师的临床诊治提出了挑战。近年来,人工智能技术在圆锥角膜领域中的应用日益增多,取得了诸多进展,本文对近年来基于角膜生物力学特性智能诊断早期圆锥角膜的研究进展进行综述,主要包括基于眼反应分析仪诊断早期圆锥角膜、基于可视化角膜生物力学分析仪诊断早期圆锥角膜和基于角膜生物力学特性应用人工智能诊断早期圆锥角膜的研究进展等,旨在使临床医师深入了解角膜生物力学特性在提高早期圆锥角膜诊断效率等方面的潜在价值,以期辅助提高早期圆锥角膜的智能化诊疗水平。Corneal biomechanical properties have been found to be important in maintaining normal corneal structure,detecting the development and progression of ectatic diseases,screening for glaucoma,and evaluating refractive surgery.Artificial intelligence,as an important tool,has been widely applied in fields such as medicine and biology.At present,there are different diagnostic criteria for keratoconus,and the early detection and diagnosis of keratoconus are more difficult,which poses challenges to the clinical diagnosis and treatment of ophthalmologists,especially refractive engineers.In recent years,the application of artificial intelligence technology in the field of keratoconus has increased,and many advances have been made.This article reviews recent studies on the intelligent diagnosis of early keratoconus based on corneal biomechanical properties,mainly including the diagnosis of early keratoconus based on ocular response analyzer,the diagnosis of early keratoconus based on corneal visualization Scheimpflug technology,and the research progress of applying artificial intelligence to diagnose early keratoconus based on corneal biomechanical properties.The aim is to enable clinical doctors to have a deep understanding of the potential value of corneal biomechanical characteristics in improving the efficiency of early keratoconus diagnosis,and to help improve the level of intelligent diagnosis and treatment of early keratoconus.

关 键 词：生物力学 人工智能 圆锥角膜 诊断 

分 类 号：R772.2[医药卫生—眼科]