https://scholars.lib.ntu.edu.tw/handle/123456789/592778
Title: | Applications of artificial intelligence for hypertension management | Authors: | Tsoi, Kelvin Yiu, Karen Lee, Helen Cheng, Hao-Min TZUNG-DAU WANG Tay, Jam-Chin Teo, Boon Wee Turana, Yuda Soenarta, Arieska Ann Sogunuru, Guru Prasad Siddique, Saulat Chia, Yook-Chin Shin, Jinho Chen, Chen-Huan Wang, Ji-Guang Kario, Kazuomi |
Issue Date: | Mar-2021 | Publisher: | WILEY | Journal Volume: | 23 | Journal Issue: | 3 | Start page/Pages: | 568 | Source: | Journal of clinical hypertension (Greenwich, Conn.) | 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. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/592778 | ISSN: | 1524-6175 | DOI: | 10.1111/jch.14180 | SDG/Keyword: | antihypertensive agent; antihypertensive therapy; artificial intelligence; blood pressure monitoring; blood pressure regulation; disease burden; feasibility study; health care cost; human; hypertension; incidence; lifestyle modification; mobile application; outcome assessment; prediction; prognosis; Review; telemedicine; trend study; validation process; aged; artificial intelligence; hypertension; telemedicine; Aged; Artificial Intelligence; Humans; Hypertension; Telemedicine |
Appears in Collections: | 醫學系 |
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