人工智能在眼睛疾病的前部部分
Yao-Hong Liu1,2, Lin-Yu Li1,2, Si-Jia Liu3,2
1School of Medicine, Nankai University, Tianjin 300071, China.
International journal of ophthalmology
|September 19, 2024
概括
人工智能 (AI) 通过改善医疗成像分析来提高眼科的眼科,以早期检测和诊断眼病. 这项技术有助于对各种前段眼部疾病进行查,分级和治疗计划.
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:
- 眼科在诊断和治疗方面严重依赖成像.
- 人工智能 (AI) 在分析医疗图像方面提供了巨大的潜力.
- 人工智能集成可以通过增强的诊断能力彻底改变眼睛护理.
研究的目的:
- 系统地审查AI在常见前段眼部疾病中的应用和进展.
- 突出AI在诊断,分类,分级,治疗指导和预后评估中的作用.
- 讨论眼科人工智能的当前局限性和未来前景.
主要方法:
- 全球眼科人工智能研究的文献综述.
- 对人工智能在诊断和管理前段眼部疾病中的应用进行分析.
- 机器学习在角膜,结膜,折射,透镜,青光眼和虹膜疾病中的作用的总结.
主要成果:
- 人工智能有助于诊断,分级和治疗计划各种前段眼部疾病.
- 研究证实了机器学习在评估眼和角膜疾病等疾病的预后方面的有效性.
- 人工智能使大规模查成为可能,并促进对眼睛疾病的分层医疗保健方法.
结论:
- 人工智能技术正在眼科领域迅速发展,特别是在前部段疾病方面.
- 人工智能整合有望提高眼科护理的效率和可访问性,从查到预后.
- 需要进一步的研究和开发来克服当前的局限性,并充分实现AI在眼科的潜力.
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