现在是病理学全数字化方法的时候了:对当前的人工智能应用和未来方向进行系统审查

Giorgio Cazzaniga1, Mattia Rossi2, Albino Eccher3,4

  • 1Department of Medicine and Surgery, Pathology, Fondazione IRCCS San Gerardo dei Tintori, Università di Milano-Bicocca, Monza, Italy. giorgio9cazzaniga@gmail.com.

Journal of nephrology
|September 28, 2023
PubMed
概括

人工智能 (AI) 正在病理学领域取得进展,深度学习对复杂的脏活检分析显示出希望. 多学科合作是开发用于病诊断的有效AI工具的关键.

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