Key result
AI applications show considerable feasibility for improving hypertension management and continuous BP monitoring.
Why the study?
Low awareness of blood pressure elevation and suboptimal diagnosis remain major hurdles in hypertension management as prevalence rises with an aging population.
Artificial intelligence and digital health tools offer promising new strategies for continuous monitoring and management of hypertension.
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.
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Tsoi et al. (2021) conducted a review in Hypertension. Artificial intelligence was evaluated. Artificial intelligence applications, including telemedicine and wearable sensors, show considerable feasibility in improving hypertension management and continuous blood pressure monitoring.
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