Artificial Intelligence and Sensors in Cardiovascular Disease Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 25 February 2026 | Viewed by 19
Special Issue Editor
Interests: artificial intelligence; sensors; deep neural network; fundus imaging; medical imaging; image processing; computer vision; pattern recognition; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on artificial intelligence-based systems and sensors for screening and identification of individuals at risk of cardiovascular diseases (CVDs), stroke, and heart attack/myocardial infarction (MI). The publications can include AI or any sensing technologies for the automatic detection of subjects with CVDs or at risk of incidence of CVDs. The studies can utilize retrospective or prospective datasets to validate the results or the automatic detection of the risk factors, which could be based on traditional or novel images.
We welcome original research articles and reviews that contribute to the development of innovative, sensor-based solutions powered by AI. Topics of interest include, but are not limited to, the following:
- Development of novel sensor technologies for cardiovascular monitoring.
- AI-based approaches for analyzing sensor data to detect early signs of CVDs.
- Wearable and non-invasive sensing systems for real-time health monitoring.
- Machine learning and deep learning applications in cardiovascular diagnostics.
- Sensor fusion techniques for comprehensive cardiovascular assessment, and ECG, EKG data analysis.
Dr. Alauddin Bhuiyan
Guest Editor
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Keywords
- cardiovascular monitoring
- artificial intelligence
- wearable and non-invasive sensing systems
- real-time health monitoring
- machine learning
- deep learning
- cardiovascular diagnostics
- sensor fusion
- ECG data analysis
- CVD prediction
- heart attack prediction
- stroke prediction
- CVD diagnosis or detection
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