Artificial Intelligence (AI) in Cardiovascular Care: Is It a Paradigm Shift? A recent Cureus Review – Medical Dialogues

A recent review concluded that artificial intelligence (AI) is revolutionising cardiology by transforming clinical practice. From automating the interpretation of ECGs and cardiac imaging to enabling remote monitoring via smartwatches, AI is shifting cardiovascular care from a reactive to a preventive approach. The predictive capabilities of AI for heart failure readmission risk and drug dosing mark significant progress towards personalised medicine.
The study highlights that AI remains a powerful tool to enhance standards of cardiac care rather than to replace cardiologists.
This narrative review was published in December 2025 in Cureus Journal
The influence of AI in the field of cardiology
Artificial intelligence (AI) encompasses computational methods that identify patterns and generate predictions from complex datasets, enabling the analysis of large, multidimensional datasets and the identification of subtle, clinically relevant signals. In cardiology, this capability is being harnessed to enhance all phases of patient management, from initial diagnosis to long-term prognosis.
Authors have highlighted that, compared with numerous traditional statistical methods, contemporary machine learning techniques can capture nonlinear relationships and high-dimensional interactions, thereby revealing patterns that may elude conventional analysis. This paradigm shift has the potential to transform cardiology from a reactive, population-centred approach to a proactive, highly individualised one, ultimately leading to earlier disease diagnosis, improved treatments, and better patient outcomes.
Advanced Diagnostics
Comparing AI vs. Traditional Methods
Predictive Analytics and Precision Medicine
The Growing Use of Wearable Devices in Cardiovascular Monitoring
Wearable devices, particularly smartwatches, have enabled real-time cardiovascular monitoring through enhanced sensors such as photoplethysmography (PPG) and ECG. The authors highlighted the Apple Heart Study, which included 419,297 participants, and demonstrated AFib detection using smartwatches. Participants receiving irregular pulse notifications were fitted with ECG patches for validation. Among the analyzable ECGs, 34% were confirmed to have AFib, with a positive predictive value of 0.84. Wearable devices combined with AI algorithms can predict cardiovascular risk and the development of hypertension.
Telemedicine and Remote Patient Monitoring: Broadening AI’s Impact
The authors also opined that AI is central to telemedicine and remote monitoring, enabling the collection of patient health data at home and the analysis of these data to identify trends. Evidence shows that the remote monitoring of heart failure patients’ weight, symptoms, and activity helps identify early signs of deterioration. Research has demonstrated the effectiveness of AI-driven remote monitoring in hypertension management. Daily blood pressure tracking reduces mortality rates by identifying elevated readings and poor medication adherence, thereby improving outcomes. AI–telemedicine integration enables proactive care by analysing patient data to identify high-risk cases and deliver personalised care, benefiting underserved populations.
Clinical Implications
Integrating AI into clinical workflows could enhance cardiovascular care. While AI excels at data processing, human oversight is still crucial. The best approach for future cardiovascular treatment might involve AI systems that assist rather than replace clinicians. This integration can lower cognitive workload, reduce diagnostic inconsistencies, and improve diagnostic efficiency. However, to achieve this, structured physician training, ongoing algorithm reviews, and adaptive clinical protocols are essential to ensure AI suggestions are correctly interpreted within the appropriate clinical context.
Reference: Mikeladze B, Nikolaishvili G, Kobaladze N. Artificial Intelligence in Cardiology: The Current Applications and Future Directions. Cureus 17(12): e99270. Published December 15, 2025. DOI 10.7759/cureus.99270
Dr. Rohini Sharma is a dental professional specializing in Public Health Dentistry. She earned her Bachelor of Dental Surgery (BDS) from P. M. N. Dental College & Hospital in Bagalkot, Karnataka, and her Master of Dental Surgery (MDS) degree from M. R. Ambedkar Dental College and Hospital, Bangalore, Karnataka. Throughout her academic journey, she has built a strong foundation in community dentistry, research, and healthcare systems. With seven years of extensive experience as a scientific writer in medical communications and medical affairs, she brings a combination of clinical knowledge and industry expertise.
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