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Applications of artificial intelligence for hypertension management.

Authors :
Kelvin Tsoi
Karen Yiu
Helen Lee
Hao-Min Cheng
Tzung-Dau Wang
Jam-Chin Tay
Boon Wee Teo
Turana, Yuda
Soenarta, Arieska Ann
Sogunuru, Guru Prasad
Siddique, Saulat
Yook-Chin Chia
Jinho Shin
Chen-Huan Chen
Ji-Guang Wang
Kazuomi Kario
Source :
Journal of Clinical Hypertension; Mar2021, Vol. 23 Issue 3, p568-574, 7p
Publication Year :
2021

Abstract

The prevalence of hypertension is increasing along with an aging population, causing millions of premature deaths annually worldwide. Low awareness of blood pressure (BP) elevation and suboptimal hypertension diagnosis serve as the major hurdles in effective hypertension management. The advent of artificial intelligence (AI), however, sheds the light of new strategies for hypertension management, such as remote supports from telemedicine and big data-derived prediction. There is considerable evidence demonstrating the feasibility of AI applications in hypertension management. A foreseeable trend was observed in integrating BP measurements with various wearable sensors and smartphones, so as to permit continuous and convenient monitoring. In the meantime, further investigations are advised to validate the novel prediction and prognostic tools. These revolutionary developments have made a stride toward the future model for digital management of chronic diseases. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15246175
Volume :
23
Issue :
3
Database :
Complementary Index
Journal :
Journal of Clinical Hypertension
Publication Type :
Academic Journal
Accession number :
149998730
Full Text :
https://doi.org/10.1111/jch.14180