[关于人工智能辅助数据采集和电子鼻喉腔镜临床应用的专家共识]
概括
人工智能 (AI) 提供了鼻喉科视镜的标准化框架,改善了早期病变检测和功能评估. 这种AI方法提高了诊断准确度,并简化了耳鼻喉科的临床工作流程.
科学领域:
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 目前的鼻喉科镜面临着诸如观察者之间的变异性和错过的早期诊断等挑战.
- 在考试期间的动态功能评估中存在效率不足.
研究的目的:
- 建立一个全面的技术框架,用于人工智能支持的数据采集和应用在鼻喉科.
- 为人工智能使用标准化成像协议和注释.
- 定义AI应用途径和数据道德标准.
主要方法:
- 引入分层数据采集标准 (基础和高级).
- 标准化了一种双模式成像协议 (白光和电子染色内镜).
- 提出了一个三级注释框架 (区域,特征,诊断) 与质量控制和验证.
主要成果:
- 概述了用于辅助检测,诊断,质量控制,报告生成和培训的AI应用途径.
- 定义符合伦理标准的数据安全标准.
- 建立了一个支持AI在耳鼻喉科的框架.
结论:
- 拟议的技术框架支持在鼻和喉疾病管理中的标准化.
- 促进多中心的研究合作,并促进在耳鼻喉科的标准化AI应用.
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