What is the clinical evidence from this study?

Study design: Review. Population: Hypertension. Intervention: Artificial intelligence and digital technologies.

What question did this study set out to answer?

The study aims to explore the challenges and advancements in managing hypertension through digital approaches, particularly using artificial intelligence.

March 28, 2026Open Access

Current perspectives and challenges of digital hypertension: artificial intelligence in the management of hypertension

Key Result

Artificial intelligence and digital technologies are reshaping hypertension management by enabling accurate risk prediction, precision phenotyping, and personalized remote interventions.

Key Points

The study aims to explore the challenges and advancements in managing hypertension through digital approaches, particularly using artificial intelligence.
Review of current technologies in hypertension management
Analysis of AI applications in predicting blood pressure outcomes
Evaluation of telemedicine interventions for hypertension
Assessment of precision medicine strategies using large datasets
Identified barriers to effective hypertension management due to inadequate cardiovascular risk recognition
Showcased AI's capability to improve blood pressure prediction and personalized interventions
Highlighted the role of remote telemedicine in enhancing patient support and monitoring

PICO

Population

Hypertension

Intervention / Comparator

Artificial intelligence and digital technologies

Limitations

Data quality, complexity, and representativeness issues
Most AI models are trained on datasets from high-income countries, risking algorithmic bias
Lack of prospective clinical validation and universal validation standards for cuffless devices
Practical barriers including clinician skepticism, EHR interoperability, and ambiguous reimbursement policies

Abstract

Hypertension remains a leading global health challenge.However, decades of conventional strategies have failed to achieve adequate blood pressure (BP) control rates.Given the complex pathophysiology and diverse risk factors of hypertension, the primary barriers to its effective management are an inadequate recognition of cardiovascular risk, as well as suboptimal methods for accurate, early-stage diagnosis and phenotyping.This persistent public health problem underscores an urgent need for transformative innovations of hypertension management.Digital hypertension is an emerging field that integrates advanced technologies into the management of hypertension, especially artificial intelligence (AI).Emerging technologies are providing new strategies for hypertension management, including accurate prediction and precision subtyping from large datasets, remote telemedicine support, intelligent BP monitoring, and personalized interventions.This review summarizes recent advancements and challenges in these technologies, particularly AI, offering new insights for realizing precision medicine in the era of digital hypertension.

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