人工智能分析用超声波诊断胆囊疾病的现状:一个范围审查
Xiuming Wang1, Huabin Zhang1, Zhiyong Bai1
1Department of Ultrasound, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
Translational gastroenterology and hepatology
|February 13, 2025
概括
人工智能 (AI) 在改善胆囊疾病 (GBD) 的超声波诊断方面表现有前途. 在胆囊聚体和癌症中的人工智能应用显示出令人满意的准确性,可能提高临床医生的诊断能力.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 胃肠病学 胃肠病学
背景情况:
- 超声波 (美国) 是胆囊疾病 (GBD) 的主要成像方式,提供无辐射可访问性和实时可视化.
- 对美国图像对GBD风险分层的主观解释具有挑战性,并取决于超声波专家的专业知识.
- 人工智能 (AI) 正在成为医学图像识别的强大工具,在GBD诊断中具有显著的潜力.
研究的目的:
- 综合审查和分析AI在美国GBD诊断中的应用.
- 根据已发表的文献,评估美国人工智能技术对各种GBD的诊断性能.
主要方法:
- 在PubMed和Wiley数据库上对2003年1月至2023年12月期间发表的文章进行了系统的文献搜索.
- 专注于基于美国的AI应用在GBD中的文章被选和选择.
- 对人工智能应用和 GBD 的诊断性能进行了全面的总结和分析.
主要成果:
- 包括16项研究,重点关注胆囊多,胆囊癌 (GBC),GB结石和胆道缩 (BA).
- 人工智能在区分GB多性病变方面表现出高灵敏度,特异性和准确性.
- 人工智能在GB石材测量和作为GBC和BA的辅助诊断工具中显示出实用性.
结论:
- 人工智能辅助超声波具有显著的潜力,可以提高GBD的诊断.
- 人工智能的未来进展可能会导致GBD诊断能力的突破,支持临床医生.
- 目前的人工智能应用主要集中在GB多和GBC上,在其他GBD中具有新兴价值.
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