人工智能和远程医疗在视网膜中的未来应用:一个视角
Chu-Ting Wu1,2, Ting-Yi Lin3, Cheng-Jun Lin4,5
1Department of Medical Education, Taipei Veterans General Hospital, Taipei, Taiwan.
Taiwan journal of ophthalmology
|July 24, 2023
概括
人工智能 (AI) 增强了视网膜疾病的医学成像,使远程监测和患者自主性成为可能. 本综述探讨了人工智能,远程医疗和视网膜护理家庭设备,提出了未来的数字健康模型.
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:
- 眼科经常使用非侵入性成像用于诊断和监测.
- 人工智能 (AI) 和深度学习提供精确的图像识别和分类.
- 人工智能应用越来越多地用于视网膜疾病,如糖尿病视网膜病变,与年龄有关的黄斑变性和早产视网膜病变.
研究的目的:
- 审查当前的研究和人工智能,远程医疗和家庭监测设备在视网膜疾病的应用.
- 为整合人工智能和数字技术在视网膜疾病管理中提出未来的模型.
主要方法:
- 对人工智能,远程医疗和眼科家庭监测的当前文献的综述.
- 分析AI应用在解释光学连贯性断层扫描和 fundus 照片.
- 讨论便携式眼科设备与人工智能的集成,以实现远程患者监控.
主要成果:
- 人工智能和深度学习已经在眼科医学图像分析中证明了精确性.
- 基于人工智能的视网膜图像解释有助于诊断和监测各种视网膜疾病.
- 带有人工智能的便携式设备可实现家庭或远程监控,赋予患者权力.
结论:
- 人工智能和数字技术正在改变视网膜疾病管理.
- 由人工智能驱动的远程医疗和家庭监控为患者的护理和自主提供了新的途径.
- 整合人工智能和数字工具的未来模型对推进视网膜医疗保健具有重大前景.
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