青光眼诊断的进步:人工智能在医学成像中的作用
Clerimar Paulo Bragança1,2, José Manuel Torres1,3, Luciano Oliveira Macedo2
1ISUS Unit, Faculty of Science and Technology, University Fernando Pessoa, 4249-004 Porto, Portugal.
Diagnostics (Basel, Switzerland)
|March 13, 2024
概括
人工智能 (AI) 显示出使用数字眼底图像的早期青光眼诊断的前景. 这篇评论探讨了人工智能应用,传统方法和流行病学,以改善眼睛护理.
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:
- 玻璃眼是全球不可逆转的失明的主要原因.
- 早期诊断对于有效管理和预防视力丧失至关重要.
- 传统的青光眼诊断依赖于各种临床评估.
研究的目的:
- 审查人工智能 (AI) 在青光眼诊断中的作用.
- 探索人工智能应用在分析数字基底图像的早期检测.
- 提供对眼病流行病学和诊断方法的概述.
主要方法:
- 对应用到青光眼检测的AI算法进行文献综述.
- 分析使用数字基底图像进行自动分类的研究.
- 检查用于机器学习的公开可用的玻璃眼图像数据集.
主要成果:
- 人工智能算法展示了从 fundus 图像分类眼的巨大潜力.
- 目前正在研究几种人工智能方法,用于自动化眼查.
- 公共可用的数据集对于培训和验证人工智能模型至关重要.
结论:
- 人工智能为提升早期青光眼检测和人口查提供了一个有希望的途径.
- 需要进一步的研究和验证才能将AI纳入常规临床实践.
- 人工智能的进步可以有助于改善全球眼睛健康结果.
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