Machine learning and medical education

被引：125
|
作者：
Kolachalama, Vijaya B. [1 ,2 ,3 ]
Garg, Priya S. [4 ]
机构：
[1] Boston Univ, Sch Med, Dept Med, Sect Computat Biomed, Boston, MA 02118 USA
[2] Boston Univ, Whitaker Cardiovasc Inst, Sch Med, Boston, MA 02118 USA
[3] Boston Univ, Hariri Inst Comp & Computat Sci & Engn, Boston, MA 02215 USA
[4] Boston Univ, Sch Med, Med Educ Off, Boston, MA 02118 USA
来源：
NPJ DIGITAL MEDICINE | 2018年 / 1卷
基金：
美国国家卫生研究院;
关键词：
DIABETIC-RETINOPATHY; VALIDATION; FUTURE; CARE;
D O I：
10.1038/s41746-018-0061-1
中图分类号：
R19 [保健组织与事业（卫生事业管理）];
学科分类号：
摘要：
Artificial intelligence (AI) driven by machine learning (ML) algorithms is a branch in computer science that is rapidly gaining popularity within the healthcare sector. Recent regulatory approvals of AI-driven companion diagnostics and other products are glimmers of a future in which these tools could play a key role by defining the way medicine will be practiced. Educating the next generation of medical professionals with the right ML techniques will enable them to become part of this emerging data science revolution.
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页数：3
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