Machine Intelligence in Healthcare and Medical Cyber Physical Systems: A Survey
Today, the US healthcare industry alone can save $300 B per year by using machine intelligence to analyze a rich set of existing medical data; results from these analyses can lead to breakthroughs such as more accurate medical diagnoses, discovery of new cures for diseases, and cost savings in the p...
Main Authors: | Omid Rajabi Shishvan, Daphney-Stavroula Zois, Tolga Soyata |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8440026/ |
Similar Items
-
Editorial: Machine Learning Used in Biomedical Computing and Intelligence Healthcare, Volume I
by: Honghao Gao, et al.
Published: (2021-05-01) -
Using artificial intelligence to analyse and teach communication in healthcare
by: Phyllis Butow, et al.
Published: (2020-04-01) -
ARTIFICIAL INTELLIGENCE AND HEALTHCARE: A QUALITATIVE REVIEW OF RECENTADVANCESAND PREDICTIONSFOR THEFUTURE
by: Yaw Ansong Jnr
Published: (2019-12-01) -
Healthcare Transformation in Singapore With Artificial Intelligence
by: Siqi Liu, et al.
Published: (2020-11-01) - ASSESSING METHODS AND TOOLS TO IMPROVE REPORTING, INCREASE TRANSPARENCY, AND REDUCE FAILURES IN MACHINE LEARNING APPLICATIONS IN HEALTHCARE