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Engineering >> 2020, Volume 6, Issue 3 doi: 10.1016/j.eng.2019.08.015

Artificial Intelligence in Healthcare: Review and Prediction Case Studies

a School of Engineering, Westlake University, Hangzhou 310024, China
b Institute of Advanced Study, Westlake Institute for Advanced Study, Hangzhou 310024, China
c Polystim Neurotech Laboratory, Polytechnique Montréal, Montréal H3T1J4, Canada
d Institute of VLSI Design, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China

Received: 2019-02-10 Revised: 2019-08-16 Accepted: 2019-08-26 Available online: 2020-01-03

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Abstract

Artificial intelligence (AI) has been developing rapidly in recent years in terms of software algorithms, hardware implementation, and applications in a vast number of areas. In this review, we summarize the latest developments of applications of AI in biomedicine, including disease diagnostics, living assistance, biomedical information processing, and biomedical research. The aim of this review is to keep track of new scientific accomplishments, to understand the availability of technologies, to appreciate the tremendous potential of AI in biomedicine, and to provide researchers in related fields with inspiration. It can be asserted that, just like AI itself, the application of AI in biomedicine is still in its early stage. New progress and breakthroughs will continue to push the frontier and widen the scope of AI application, and fast developments are envisioned in the near future. Two case studies are provided to illustrate the prediction of epileptic seizure occurrences and the filling of a dysfunctional urinary bladder.

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