CARDIOVASCULAR DISEASE AND THE ROLE OF ARTIFICIAL INTELLIGENCE: LITERATURE REVIEW
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Keywords
Cardiovascular Disease, Artificial Intelligence, Machine Learning, Risk Assessment, Predictive Analytics
Abstract
Background: Cardiovascular diseases (CVDs) remain a leading global health issue, with increasing prevalence and economic impact. This study systematically reviews the current literature on CVD prevalence, prevention, management strategies, and the integration of artificial intelligence (AI) in cardiovascular medicine.
Methods: A comprehensive literature search was conducted using databases such as PubMed and Google Scholar. Studies were screened for relevance, and data were synthesized to evaluate trends, interventions, and AI applications in cardiovascular care.
Results: The review found a rising prevalence of CVDs and substantial economic burden. Behavioral interventions, including weight loss and dietary counseling, are effective in reducing cardiovascular risk. AI has shown potential in enhancing diagnostic accuracy and personalizing treatment, though challenges in validation and implementation remain.
Conclusion: Addressing the growing burden of CVDs requires effective prevention strategies and the integration of validated AI tools into clinical practice. Future research should focus on optimizing these approaches and assessing their cost-effectiveness to improve cardiovascular health outcomes and reduce healthcare costs.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
All articles published in JPTCP are licensed under Copyright Creative Commons Attribution-NonCommercial 4.0 International License.
Lakachew Bekele
ECFMG Certified Medical Doctor, Department of Medicine, Holy Cross Hospital, Silver Spring, Maryland, USA.
Dr. Asfandiyar Khan
Postgraduate Resident, Department of Cardiology, Lady Reading Hospital Peshawar, Pakistan.
Affan Tasleem
4th Year MBBS Student, Nishtar Medical University Multan, Pakistan.
Dr. Nabeel Baig
Medical Office Internal Medicine Changsha Medical University, China.
Rabia Taj
Shaheed Benazir Bhutto Women University, Pakistan.
Sundas Kanwal
SHO Department of Paediatrics, Tipperary University Hospital Ireland.