Content area
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.
This Review summarizes the medical applications of artificial intelligence, and its economic, legal and social implications for healthcare.
Details
Title
Artificial intelligence in healthcare
Author
Kun-Hsing, Yu 1
; Beam, Andrew L 1 ; Kohane, Isaac S 2
1 Department of Biomedical Informatics, Harvard Medical School, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X)
2 Department of Biomedical Informatics, Harvard Medical School, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Boston Children’s Hospital, Boston, USA (GRID:grid.2515.3) (ISNI:0000 0004 0378 8438)
; Beam, Andrew L 1 ; Kohane, Isaac S 2 1 Department of Biomedical Informatics, Harvard Medical School, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X)
2 Department of Biomedical Informatics, Harvard Medical School, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Boston Children’s Hospital, Boston, USA (GRID:grid.2515.3) (ISNI:0000 0004 0378 8438)
Pages
719-731
Publication year
2018
Publication date
Oct 2018
e-ISSN
2157846X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2389685397
Copyright
© Springer Nature Limited 2018.