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人工智能用于视网膜疾病

Jennifer I Lim¹, Aleksandra V Rachitskaya², Joelle A Hallak³

¹University of Illinois at Chicago, College of Medicine, Department of Ophthalmology and Visual Sciences, Chicago, IL, United States.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)

|August 29, 2024

概括

人工智能 (AI) 在诊断和管理视网膜疾病,如糖尿病视网膜病变 (DR) 和与年龄相关的黄斑变性 (AMD) 中表现有前途. 人工智能可以预测疾病的进展,帮助治疗分析,可能减少失明.

科学领域:

眼科医生眼科眼科
医疗人工智能医疗人工智能
生物医学成像技术生物医学成像技术

背景情况:

在全球范围内,常见的视网膜疾病对视力构成重大威胁.
早期诊断和有效的管理对于预防视力丧失至关重要.

研究的目的:

审查人工智能 (AI) 在诊断和管理常见的视网膜疾病中的全球应用.
探索AI对治疗结果分析和疾病管理的潜在影响.

主要方法:

使用PubMed Central对视网膜疾病的AI应用进行了在线文献审查.
包括关于查,诊断,监测和治疗AMD,DR,ROP和SCR等疾病的结果的研究.
专注于AI与视网膜成像技术 (如OCT和OCTA) 的使用.

主要成果:

人工智能在查DR,AMD,ROP和SCR方面显示出有用性.
人工智能算法可以使用验证的数据集预测疾病进展和治疗反应.
人工智能可快速对来自OCT和OCTA的视网膜生物标志物进行定量分析,并可协助机器人手术规划.

结论:

人工智能工具可以帮助临床医生进行疾病查,监测和对治疗结果的定量分析.
人工智能可能有助于减少影响视网膜疾病结果的社会经济差异.
人工智能对预防视网膜疾病导致失明的公共卫生影响需要进一步确定.

关键词:

算法算法是一种算法.人工智能的人工智能是人工智能.生物标志物生物标志物深度学习是一种深度学习.查检查查检查查检查

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