癌症病理学中的人工智能:应用,挑战和未来方向
Jiule Wang1,2,3, Teng Wang4, Rui Han4
1School of Pharmaceutical Sciences, Shandong University, Jinan, Shandong, China.
CytoJournal
|June 5, 2025
概括
癌症病理学的人工智能 (AI) 改善了各种癌症的诊断和治疗计划. 持续的发展和协作是克服挑战和实现AI在个性化癌症护理中的全部潜力的关键.
科学领域:
- 数字病理学数字病理学
- 计算瘤学是一种计算瘤学.
- 医疗人工智能的人工智能
背景情况:
- 人工智能 (AI) 在增强癌症病理学方面显示出显著的潜力.
- 人工智能应用包括诊断,工作流程优化和精确瘤学.
研究的目的:
- 通过各种癌症类型审查当前在癌症病理学中的AI应用.
- 确定关键的人工智能技术及其在癌症诊断和预后中的作用.
- 探索AI在癌症病理学中的挑战和未来方向.
主要方法:
- 关于人工智能在乳腺,肺,前列腺和结直肠癌病理学中的应用现有文献的综述.
- 机器学习,深度学习和计算机视觉在基因病学图像分析中的分析.
- 检查多模式数据集成,以提高诊断能力.
主要成果:
- 人工智能有助于准确的组织分类,突变检测和预后预测.
- 机器学习,深度学习和计算机视觉是关键的人工智能技术.
- 在对组织病理图像的自动化分析方面取得了重大进展.
结论:
- 人工智能为改善癌症病理学和个性化瘤学提供了巨大的希望.
- 关键的挑战包括数据隐私,模型解释性和监管合规性.
- 未来的方向包括实时诊断,可解释的AI和通过AI-病理学家合作的全球可访问性.
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