Applications of artificial intelligence for hypertension management

Area of Science:

• Cardiovascular Medicine
• Digital Health
• Artificial Intelligence in Healthcare

Background:

• Rising hypertension prevalence globally, exacerbated by aging populations, leads to significant mortality.
• Inadequate blood pressure awareness and diagnosis hinder effective hypertension management.
• Traditional hypertension management faces challenges in timely detection and intervention.

Purpose of the Study:

• To explore the role of artificial intelligence (AI) in advancing hypertension management strategies.
• To highlight the potential of AI-driven telemedicine and big data analytics for hypertension.
• To assess the integration of wearable sensors and smartphones for continuous blood pressure monitoring.

Main Methods:

• Review of existing evidence on AI applications in hypertension management.
• Analysis of trends in integrating wearable technology and mobile devices for blood pressure (BP) measurement.
• Identification of novel AI-based prediction and prognostic tools.

Main Results:

• AI demonstrates feasibility in various hypertension management applications.
• Integration of BP measurements with wearables and smartphones facilitates continuous, convenient monitoring.
• Emerging AI tools show promise for prediction and prognosis in hypertension care.

Conclusions:

• AI represents a transformative approach to hypertension management, enhancing remote support and predictive capabilities.
• Continuous BP monitoring via integrated digital devices is a significant future trend.
• Further validation is needed for AI-based prediction and prognostic tools in chronic disease management.