机器学习正在改变循证医学吗?

Q2 Social Sciences

Journal of Electronic Resources in Medical Libraries Pub Date : 2023-01-02 DOI:10.1080/15424065.2023.2180126

Gregory Laynor

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引用次数: 1

摘要

自20世纪90年代以来，循证医学范式已经成为卫生保健和卫生专业教育的基本组成部分，尽管它受到了批评。与此同时，在过去十年中，数据收集和计算能力的增加带来了机器学习的进步，例如医学图像中模式识别的诊断算法。机器学习有可能解决循证医学的一些局限性，但也提出了关于什么是医学证据的新问题。对机器学习的批判性评估可以成为循证医学教学的一部分。

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Is Machine Learning Changing Evidence-Based Medicine?

Abstract The paradigm of evidence-based medicine has become a fundamental part of health care and health professions education since the 1990s, even as it has drawn criticism. Meanwhile, in the past decade, increased data collection and computational power have brought about advances in machine learning, such as diagnostic algorithms for pattern recognition in medical images. Machine learning has potential to address some of the limitations of evidence-based medicine, but also presents new questions about what counts as evidence in medicine. Critical appraisal of machine learning can become part of the teaching of evidence-based medicine.

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来源期刊

Journal of Electronic Resources in Medical Libraries Social Sciences-Library and Information Sciences

CiteScore

0.70

自引率

0.00%

发文量

期刊介绍： The Journal of Electronic Resources in Medical Libraries is a peer-reviewed professional journal devoted to the access, evaluation, and management of electronic resources in the medical library environment. This journal will be an essential resource for academic medical school libraries, hospital libraries, and other health sciences libraries. The material in the Journal of Electronic Resources in Medical Libraries will complement articles published in Medical Reference Services Quarterly (also edited by M. Sandra Wood), which highlights the reference and bibliographic instruction aspects of electronic resources.