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利用人工智能用于糖尿病视网膜病症查和管理:历史和当前进展
Ramachandran Rajalakshmi1, Thyparambil Aravindakshan PramodKumar2, Abdul Subhan Naziyagulnaaz3
1Dr. Rema Mohan Department of Ocular Research, Dr. Mohan's Diabetes Specialities Centre and Madras Diabetes Research Foundation, Chennai, India.
Seminars in ophthalmology
|November 24, 2024
概括
人工智能 (AI) 和深度学习 (DL) 算法为自动化糖尿病视网膜病变 (DR) 查提供了一个有希望的解决方案. 这些先进的工具使得早期检测成为可能,改善了患者的治疗结果,并解决了全球查挑战.
科学领域:
- 眼科医生 眼科 眼科
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 由于人力资源有限,糖尿病视网膜病变 (DR) 查是一个全球性的挑战.
- 数字健康创新,特别是人工智能,对DR查有很大的前景.
- 基于人工智能 (AI) 的深度学习 (DL) 算法对诊断可引用的DR (RDR) 有效.
研究的目的:
- 评估AI在DR查中的应用.
- 审查目前可用的自动化DR检测算法.
主要方法:
- 一篇关于2024年5月15日之前发表的文章的叙事评论.
- 在PubMed,Medline,Embase,Scopus和谷歌学者中进行的搜索.
- 关键词包括糖尿病视网膜病变,人工智能,深度学习,自动检测和视网膜成像.
主要成果:
- 人工智能为DR诊断提供了先进的数字健康.
- 确定了用于DR检测的关键AI/DL概念和验证的算法.
- IDx-DR,EyeArt和AEYE-DS都是美国FDA批准的自动化DR查算法.
结论:
- 人工智能通过早期自动检测彻底改变了DR查.
- 人工智能和视网膜成像技术的进步促进了早期诊断和更好的患者结果.
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