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[为人工智能标准化乳腺癌数字病理学数据库:实践和反思]

F L Li1, H Bu1, Z Zhang1

  • 1Department of Pathology, West China Hospital, Sichuan University; Institute of Clinical Pathology, West China Hospital, Sichuan University, Chengdu 610041, China.

Zhonghua bing li xue za zhi = Chinese journal of pathology
|March 8, 2026
PubMed
概括

开发高质量,标准化的数字病理学数据库对于在诊断领域推进人工智能至关重要. 本研究概述了乳腺病理学数据库试点项目,解决未来发展的关键挑战.

科学领域:

  • 病理学 病理学 病理学
  • 医疗信息学 医疗信息学
  • 人工智能的人工智能

背景情况:

  • 传统的病理诊断与数据碎片化和效率低下作斗争.
  • 大数据和人工智能的时代要求病理学的数字化转型.
  • 高质量的标准化数据库对于数字病理学的进步至关重要.

研究的目的:

  • 审查数字病理学数据库建设的全球努力.
  • 详细介绍一个专门的乳腺病理学数据库的试点项目.
  • 为应对挑战,并激发中国数字病理学和人工智能的标准化.

主要方法:

  • 为乳腺病理学数据库注册病例并系统地收集数据.
  • 标准化整个幻灯片成像 (WSI) 数字化协议.
  • 讨论关键问题:数据模式,多中心集成,扫描和协作.

主要成果:

  • 开发了一个试点乳腺病理学数据库.
  • 确定了数据库构建和集成的关键考虑因素.
  • 研究了合作开发和标准化的框架.

结论:

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  • 标准化的数字病理学数据库对于AI开发至关重要.
  • 解决数据模式,集成和协作是成功的关键.
  • 该试点项目为中国的可持续数字病理学提供了见解.