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人工智能和数字病理学:临床前景和部署考虑因素

Mark D Zarella1, David S McClintock1, Harsh Batra2

  • 1Mayo Clinic, Division of Computational Pathology and AI, Department of Laboratory Medicine and Pathology, Rochester, Minnesota, United States.

Journal of medical imaging (Bellingham, Wash.)
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PubMed
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人工智能 (AI) 为解剖病理学提供了定量支持,增强了诊断和工作流程. 通过利益相关者的纳入和补偿来克服采用障碍是实现AI临床潜力的关键.

关键词:
计算病理学计算病理学数字病理学数字病理学图像分析图像分析机器学习是机器学习.整个幻灯片成像成像技术

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