ISSN 2149-2263 | E-ISSN 2149-2271
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Artificial Intelligence-Based Clinical Decision Support Systems in Cardiovascular Diseases [Anatol J Cardiol]
Anatol J Cardiol. 2024; 28(2): 74-86 | DOI: 10.14744/AnatolJCardiol.2023.3685

Artificial Intelligence-Based Clinical Decision Support Systems in Cardiovascular Diseases

Serdar Bozyel1, Evrim Şimşek2, Duygu Koçyiğit Burunkaya3, Arda Güler4, Yetkin Korkmaz5, Mehmet Şeker5, Mehmet Ertürk4, Nurgül Keser5
1Department of Cardiology, Health Sciences University, Kocaeli City Hospital, Kocaeli, Türkiye
2Department of Cardiology, Ege University, Faculty of Medicine, İzmir, Türkiye
3Department of Cardiology, Health Sciences University, Ankara City Hospital, Ankara, Türkiye
4Department of Cardiology, Health Sciences University, Mehmet Akif Ersoy Training and Research Hospital, İstanbul, Türkiye
5Department of Cardiology, Health Sciences University, Sultan Abdulhamid Han Training and Research Hospital, İstanbul, Türkiye

Despite all the advancements in science, medical knowledge, healthcare, and the healthcare industry, cardiovascular disease (CVD) remains the leading cause of morbidity and mortality worldwide. The main reasons are the inadequacy of preventive health services and delays in diagnosis due to the increasing population, the failure of physicians to apply guide-based treatments, the lack of continuous patient follow-up, and the low compliance of patients with doctors’ recommendations. Artificial intelligence (AI)-based clinical decision support systems (CDSSs) are systems that support complex decision-making processes by using AI techniques such as data analysis, foresight, and optimization. Artificial intelligence-based CDSSs play an important role in patient care by providing more accurate and personalized information to healthcare professionals in risk assessment, diagnosis, treatment optimization, and monitoring and early warning of CVD. These are just some examples, and the use of AI for CVD decision support systems is rapidly evolving. However, for these systems to be fully reliable and effective, they need to be trained with accurate data and carefully evaluated by medical professionals.

Keywords: Artificial intelligence, clinical decision support systems, cardiovascular diseases, patient management, prediction

Serdar Bozyel, Evrim Şimşek, Duygu Koçyiğit Burunkaya, Arda Güler, Yetkin Korkmaz, Mehmet Şeker, Mehmet Ertürk, Nurgül Keser. Artificial Intelligence-Based Clinical Decision Support Systems in Cardiovascular Diseases. Anatol J Cardiol. 2024; 28(2): 74-86

Corresponding Author: Serdar Bozyel
Manuscript Language: English


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