Artificial Intelligence-Based Clinical Decision Support Systems in Cardiovascular Diseases

Overview

Journal Anatol J Cardiol

Publisher Kare Publishing

Specialty Cardiology & Vascular Diseases

Date 2024 Jan 3

PMID 38168009

Authors

Serdar Bozyel

Evrim Simsek

Duygu Kocyigit Burunkaya

Arda Guler

Yetkin Korkmaz

Mehmet Seker

Mehmet Erturk

Nurgul Keser

Affiliations

Soon will be listed here.

Abstract

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.

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