人工智能在角膜和外部疾病中的应用
Te-Chen Lu1, Chun-Hao Huang2, I-Chan Lin2,3
1School of Medicine, College of Medicine, Taipei Medical University, Taipei 110301, Taiwan.
Diagnostics (Basel, Switzerland)
|December 30, 2025
概括
人工智能 (AI) 在检测各种角膜疾病方面表现出高精度,有助于早期诊断和管理. 人工智能工具还支持图像分析,教育和患者监测,以便更好地护理眼睛.
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:
- 角膜疾病是全球失明的主要原因之一.
- 由于微妙的临床症状,早期检测很困难.
- 人工智能 (AI) 提供了改善前段疾病诊断的潜力.
研究的目的:
- 审查人工智能在检测角膜疾病中的当前应用.
- 评估人工智能模型对角膜疾病的诊断性能.
- 探索AI在图像标签,教育和患者监测中的作用.
主要方法:
- 在角膜疾病检测中AI应用的叙述性审查.
- 对测试数据集的AI模型性能进行分析.
- 包括诸如角膜,干眼,传染性角膜炎,,Fuchs内皮角膜缩和角膜移植等疾病.
主要成果:
- 人工智能模型在检测角膜疾病方面表现出很高的准确性,经常与初级眼科医生相匹配或超越.
- 人工智能应用扩展到自动图像标签和教育支持.
- 人工智能有助于在患者家中监测角膜健康.
结论:
- 人工智能具有显著的潜力,可以提高角膜疾病的早期检测和标准化分类.
- 人工智能可以改善临床实践,并支持眼科患者的自我护理.
- 人工智能整合有望在管理角膜病理和预防失明方面取得进展.
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