人工智能和病理学家的旋转门——docendo discimus?

S. L. Van Es, A. Madabhushi
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引用次数: 1

摘要

Dietz和Pantanowitz(1)对人工智能(AI)和机器学习(ML)在病理学方面的当前和潜在未来用途和挑战,提供了一个很好的解释和翔实的观点。他们强调开发基于证据的人工智能应用“杀手套件”的重要性,这将加速接受数字病理学(DP)并将其融入诊断实践。这是参考其他小组的调查结果,应邀对其编辑内容进行的反思。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The revolving door for AI and pathologists-docendo discimus?
Dietz and Pantanowitz (1) present a well-explained and informative viewpoint on the history, theory, and science behind, as well as, current and potential future uses and challenges of, artificial intelligence (AI) and machine learning (ML), for pathology. They emphasize the importance of development of a “killer suite” of AI applications whose use is evidence-based, that will accelerate acceptance and integration of digital pathology (DP) into diagnostic practice. This is an invited reflection on their editorial content with reference to findings from other groups.
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CiteScore
2.30
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