Digital technologies, including AI, sensors, and telemedicine, are driving a multidisciplinary paradigm shift in the personalized prevention, diagnosis, and management of hypertension.
Recent advances in digital technology are remarkable, and they are driving profound transformations in healthcare and medical research. Within this context, digital hypertension has emerged as a multidisciplinary paradigm that integrates novel digital technologies into the prevention, diagnosis, and management of hypertension. Digital hypertension encompasses diverse domains such as advanced sensor development, continuous physiological monitoring, information processing, artificial intelligence, big data analytics, digital therapeutics, and telemedicine. These innovations enable more personalized, efficient, and data-driven hypertension care. A growing body of research has explored applications ranging from home-based blood pressure monitoring systems to AI-assisted risk prediction models and remote therapeutic interventions, producing promising and clinically relevant outcomes. This review summarizes the latest evidence, highlights technological and clinical advances, and discusses future perspectives and challenges for the broader adoption of digital hypertension strategies.
Tomitani et al. (Wed,) studied this question.