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首页> 外文期刊>Journal of Pathology: Journal of the Pathological Society of Great Britain and Ireland >Artificial intelligence in digital pathology: a roadmap to routine use in clinical practice
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Artificial intelligence in digital pathology: a roadmap to routine use in clinical practice

机译:数字病理学中的人工智能:临床实践中使用的路线图

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Abstract The use of artificial intelligence will transform clinical practice over the next decade and the early impact of this will likely be the integration of image analysis and machine learning into routine histopathology. In the UK and around the world, a digital revolution is transforming the reporting practice of diagnostic histopathology and this has sparked a proliferation of image analysis software tools. While this is an exciting development that could discover novel predictive clinical information and potentially address international pathology workforce shortages, there is a clear need for a robust and evidence‐based framework in which to develop these new tools in a collaborative manner that meets regulatory approval. With these issues in mind, the NCRI Cellular Molecular Pathology (CM‐Path) initiative and the British In Vitro Diagnostics Association (BIVDA) have set out a roadmap to help academia, industry, and clinicians develop new software tools to the point of approved clinical use. ? 2019 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
机译:摘要使用人工智能将在未来十年中转换临床实践,这可能是将图像分析和机器学习集成到常规组织病理学中的整合。在英国和世界各地,一种数字革命正在转变诊断组织病理学的报告实践,这引发了图像分析软件工具的激增。虽然这是一个令人兴奋的发展,可能会发现新颖的预测临床信息和潜在地解决国际病理劳动力短缺问题,但明确需要一种强大和基于证据的框架,其中可以以合作方式开发这些新工具,以符合监管批准。通过这些问题,NCRI细胞分子病理(CM-PATH)倡议和英国体外诊断协会(Bivda)已经阐述了一个路线图来帮助学术界,工业和临床医生开发新的软件工具到批准的临床点用。还2019年英国和爱尔兰病理学协会。 John Wiley&amp出版; SONS,LTD.

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