Artificial intelligence in healthcare. Yu, K., Beam, A. L, & Kohane, I. S Nature biomedical engineering, 2(10):719, Nature Publishing Group, 2018. Paper abstract bibtex 4 downloads Artificial intelligence (AI) is gradually changing medical practice. With recent progress in digitized data acquisition, machine learning and computing infrastructure, AI applications are expanding into areas that were previously thought to be only the province of human experts. In this Review Article, we outline recent breakthroughs in AI technologies and their biomedical applications, identify the challenges for further progress in medical AI systems, and summarize the economic, legal and social implications of AI in healthcare.
@article{yu2018artificial,
title={Artificial intelligence in healthcare},
author={Yu, Kun-Hsing and Beam, Andrew L and Kohane, Isaac S},
journal={Nature biomedical engineering},
volume={2},
number={10},
pages={719},
year={2018},
keywords={Deep Learning, Reviews, Healthcare},
url_Paper={https://www.dropbox.com/s/tji0n19y5rciza6/yu_ai_healthcare_naturebme_2019.pdf?dl=0},
abstract={Artificial intelligence (AI) is gradually changing medical practice. With recent progress in digitized data acquisition, machine learning and computing infrastructure, AI applications are expanding into areas that were previously thought to be only the province of human experts. In this Review Article, we outline recent breakthroughs in AI technologies and their biomedical applications, identify the challenges for further progress in medical AI systems, and summarize the economic, legal and social implications of AI in healthcare.},
publisher={Nature Publishing Group}
}
Downloads: 4
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