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Comprehensive Analysis of Cardiovascular Diseases: Symptoms, Diagnosis, and AI Innovations
Department of Electrical Engineering, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan.
Department of Electrical Engineering, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan.ORCID iD: /0000-0003-0753-0883
Department of Biomedical Engineering, Riphah College of Science and Technology, Riphah International University, Islamabad 46000, Pakistan.ORCID iD: /0000-0003-3305-4948
Department of Electromechanical Engineering, Abu Dhabi Polytechnic, Abu Dhabi 13232, United Arab Emirates.ORCID iD: /0000-0003-3025-6739
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2024 (English)In: Bioengineering, E-ISSN 2306-5354, Vol. 11, no 12, article id 1239Article, review/survey (Refereed) Published
Abstract [en]

Cardiovascular diseases are some of the underlying reasons contributing to the relentless rise in mortality rates across the globe. In this regard, there is a genuine need to integrate advanced technologies into the medical realm to detect such diseases accurately. Moreover, numerous academic studies have been published using AI-based methodologies because of their enhanced accuracy in detecting heart conditions. This research extensively delineates the different heart conditions, e.g., coronary artery disease, arrhythmia, atherosclerosis, mitral valve prolapse/mitral regurgitation, and myocardial infarction, and their underlying reasons and symptoms and subsequently introduces AI-based detection methodologies for precisely classifying such diseases. The review shows that the incorporation of artificial intelligence in detecting heart diseases exhibits enhanced accuracies along with a plethora of other benefits, like improved diagnostic accuracy, early detection and prevention, reduction in diagnostic errors, faster diagnosis, personalized treatment schedules, optimized monitoring and predictive analysis, improved efficiency, and scalability. Furthermore, the review also indicates the conspicuous disparities between the results generated by previous algorithms and the latest ones, paving the way for medical researchers to ascertain the accuracy of these results through comparative analysis with the practical conditions of patients. In conclusion, AI in heart disease detection holds paramount significance and transformative potential to greatly enhance patient outcomes, mitigate healthcare expenditure, and amplify the speed of diagnosis.

Place, publisher, year, edition, pages
2024. Vol. 11, no 12, article id 1239
National Category
Cardiology and Cardiovascular Disease
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URN: urn:nbn:se:mdh:diva-69490DOI: 10.3390/bioengineering11121239OAI: oai:DiVA.org:mdh-69490DiVA, id: diva2:1920185
Available from: 2024-12-10 Created: 2024-12-10 Last updated: 2025-02-10Bibliographically approved

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Abdullah, Saad

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