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在内镜超声波中对人工智能的全面指南
Kareem Khalaf1, Maria Terrin2, Manol Jovani3
1Division of Gastroenterology, St. Michael's Hospital, University of Toronto, Toronto, ON M5S 1A1, Canada.
Journal of clinical medicine
|June 10, 2023
概括
人工智能 (AI) 通过提高胃肠道疾病的诊断精度来增强内镜超声波 (EUS). 人工智能在EUS成像和活检中的整合导致了更好的患者结果和更少的重复手术.
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:
- 内镜超声波 (EUS) 对于诊断胆胰腺和胃肠道疾病,评估亚皮质病变和采样质量至关重要.
- 人工智能 (AI) 在医疗保健中的应用正在迅速扩大.
研究的目的:
- 审查AI在内镜超声波 (EUS) 中的当前应用.
- 涵盖人工智能的作用,从成像分析到病理诊断和EUS培训.
主要方法:
- 人工智能算法分析EUS图像以检测和描述病变.
- 深度学习,包括卷积神经网络 (CNN),用于瘤识别和亚皮质损伤评估.
主要成果:
- 人工智能模型可以提高诊断的准确性和速度.
- 人工智能可以检测到人类观察所错过的微妙疾病表现.
- 人工智能为疾病病理学提供了更深入的见解.
结论:
- 将AI整合到EUS成像和活检中可以提高诊断精度.
- 提高准确性导致更好的患者结果,并减少重复手术的需要.
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