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Published on: September 26, 2018
Artificial Intelligence and Advanced Digital Health for Hypertension: Evolving Tools for Precision Cardiovascular
Ioannis Skalidis1,2, Niccolo Maurizi3, Adil Salihu3
1Institut Cardiovasculaire Paris-Sud, Hôpital Jacques Cartier, Ramsay-Santé, 91300 Massy, France.
Artificial intelligence (AI) and digital health tools show promise for improving hypertension management through remote monitoring and AI-guided treatment adjustments. Further research is needed to address equity, bias, and privacy concerns for widespread adoption.
Area of Science:
- Cardiovascular Medicine
- Digital Health
- Artificial Intelligence
Background:
- Hypertension is a leading global risk factor for cardiovascular disease, with current treatments often suboptimal.
- Digital health and AI offer innovative solutions for hypertension diagnosis, monitoring, and personalized treatment.
- Suboptimal control rates persist despite guideline-directed therapies, highlighting the need for advanced management strategies.
Purpose of the Study:
- To review AI-enabled digital tools for hypertension management.
- To explore emerging applications, implementation challenges, and future directions in AI for hypertension.
- To critically assess the current landscape of digital health technologies in hypertension care.
Main Methods:
- Narrative review of PubMed-indexed studies from 2019-2024.
- Focus on clinical applications, real-world deployment, algorithmic explainability, digital biomarkers, and ethical/regulatory frameworks.
- Prioritized high-quality randomized trials, systematic reviews, and expert consensus statements.
Main Results:
- AI platforms show promise in improving hypertension control via remote monitoring and machine learning titration algorithms.
- Explainable AI (XAI) is crucial for clinician trust and integration into decision-making.
- Equity-focused design and regulatory oversight are essential to prevent health disparities; federated learning and co-design can enhance scalability.
Conclusions:
- AI-guided titration and digital twins show potential for reducing therapeutic inertia.
- Cuffless blood pressure monitoring is the least mature technology currently.
- Future research should focus on pragmatic trials with equity and cost-effectiveness endpoints, alongside safeguards against bias and privacy risks.
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