Machine learning and pre-medical education.
Machine learning and pre-medical education.
复制标题
机器学习和医学预科教育。
DOI：
10.1016/j.artmed.2022.102313
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发表时间：
2022-07
影响因子：
7.5
通讯作者：
Kolachalama, Vijaya B.
中科院分区：
文献类型：
--
作者：
Kolachalama, Vijaya B.
机器学习和人工智能（AI）驱动的技术正在为医疗和护理管理的各个方面做出重大贡献。下一代医疗保健专业人员可能会面临一系列由人工智能驱动的创新，他们在职业生涯中可能没有足够的时间来了解驱动这些系统的底层机器学习框架。教育有抱负的临床医生和护理提供者正确的机器学习基础课程，作为中学后教育的一部分，可能会将他们转变为未来的高科技医生和护理提供者。
Machine learning and artificial intelligence (AI)-driven technologies are contributing significantly to various facets of medicine and care management. It is likely that the next generation of healthcare professionals will be confronted with a series of innovations that are powered by AI, and they may not have sufficient time during their professional tenure to learn about the underlying machine learning frameworks that are driving these systems. Educating the aspiring clinicians and care providers with the right foundational courses in machine learning as part of postsecondary education will likely transform them as high-tech physicians and care providers of the future.
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影响因子：
30.8
作者：
Ghassemi, Marzyeh;Oakden-Rayner, Luke;Beam, Andrew L.
通讯作者：
Beam, Andrew L.
影响因子：
15.8
作者：
Vayena E;Blasimme A;Cohen IG
通讯作者：
Cohen IG
DOI：
10.1146/annurev-statistics-060116-053930
发表时间：
2017-01-01
期刊：
ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, VOL 4
影响因子：
--
作者：
De Veaux, Richard D.;Agarwal, Mahesh;Ye, Ping
通讯作者：
Ye, Ping
影响因子：
7.4
作者：
James, Cornelius A.;Wheelock, Kevin M.;Woolliscroft, James O.
通讯作者：
Woolliscroft, James O.
影响因子：
15.2
作者：
Kolachalama, Vijaya B.;Garg, Priya S.
通讯作者：
Garg, Priya S.