甲状腺眼病成像中的人工智能:系统性审查
Haiyang Zhang1, Ziyuan Li1, Hoi Chi Chan1
1State Key Laboratory of Eye Health, Department of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Survey of ophthalmology
|July 24, 2025
概括
人工智能 (AI) 在诊断和治疗甲状腺眼病 (TED) 方面表现有前途. 这份对41项研究的综述强调了人工智能.
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:
- 甲状腺眼病 (TED) 是一种复杂的轨道疾病,可见软组织变化.
- 目前的研究缺乏一个系统的审查的人工智能 (AI) 应用在TED.
研究的目的:
- 在TED诊断和治疗中系统地审查和描述人工智能的研究格局.
- 在TED研究中确定人工智能的关键挑战和未来方向.
主要方法:
- 在2025年1月之前,对系统的数据库搜索采用了PRISMA指南.
- 包括41项应用人工智能的CT,MRI和TED患者的其他成像模式的研究.
- 使用APPRESISE-AI工具评估研究质量.
主要成果:
- 主要是东亚参与者 (33-2288人);CT和面部成像是最常见的模式.
- 人工智能应用专注于诊断,活动评估,严重程度分类和治疗预测.
- 经常使用深度学习模型 (ResNet,VGG);大多数研究质量中等.
结论:
- 基于图像的AI具有显著的潜力,可以提高TED的诊断准确性.
- 人工智能可以指导甲状腺眼病的个性化治疗策略.
- 未来的研究需要强大的设计,公共数据集,多模式成像和临床翻译的合作.
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