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Published on: February 21, 2025
Wearable Devices and Machine Learning in Cardiovascular Monitoring: Current Evidence and Future Directions for
Ayokunle Osonuga1,2, Madhavi Dave3, Ikponmwosa Jude Ogieuhi4
1Coltishall Medical Practice, NHS GP Surgery, Norfolk NR12 7HA, UK.
Journal of Personalized Medicine
|July 27, 2026
Summary
Wearable technology and artificial intelligence (AI) are revolutionizing cardiovascular care by enabling continuous monitoring and early detection of heart conditions. These AI-enhanced systems promise predictive, preventive, and personalized medicine, improving patient outcomes globally.
Area of Science:
- Cardiovascular medicine
- Biomedical engineering
- Artificial intelligence
Background:
- Cardiovascular disease is a leading global health issue, causing millions of deaths annually.
- Wearable technology and AI offer continuous, real-time cardiovascular monitoring outside clinical settings.
Purpose of the Study:
- To review the integration of wearable devices and AI for continuous cardiovascular monitoring.
- To assess real-world applicability and global health equity.
Main Methods:
- Narrative review of current evidence.
- Examination of wearable device technologies (smartwatches, patches, biosensors).
- Exploration of AI methodologies (machine learning, deep learning).
Main Results:
- High accuracy in arrhythmia detection (>98% sensitivity).
- Potential for cuffless blood pressure monitoring, heart failure prediction, and risk stratification.
- Identified challenges: data quality, algorithm interpretability, regulatory hurdles, privacy, and health disparities.
Conclusions:
- AI-enhanced wearables can shift cardiovascular care towards predictive, preventive, and precision medicine.
- Future directions include edge computing, federated learning, and EHR integration for improved outcomes and reduced costs.
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