Suppr超能文献

机器学习与医学教育。

Machine learning and medical education.

作者信息

Kolachalama Vijaya B, Garg Priya S

机构信息

1Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA 02118 USA.

2Whitaker Cardiovascular Institute, Boston University School of Medicine, Boston, MA 02118 USA.

出版信息

NPJ Digit Med. 2018 Sep 27;1:54. doi: 10.1038/s41746-018-0061-1. eCollection 2018.

Abstract

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.

摘要

由机器学习(ML)算法驱动的人工智能(AI)是计算机科学的一个分支,正在医疗保健领域迅速受到欢迎。人工智能驱动的伴随诊断及其他产品最近获得监管批准,预示着这些工具在未来通过定义医学实践方式发挥关键作用的前景。用正确的机器学习技术培养下一代医学专业人员,将使他们能够成为这场新兴数据科学革命的一部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cba/6550167/51e3864a27f1/41746_2018_61_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验