Artificial Intelligence-Based Clinical Decision Support Systems in Cardiovascular Diseases

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.

Large Language Models: Could They Be the Next Generation of Clinical Decision Support Systems in Cardiovascular Diseases?

“…This article provides detailed information about the current status and potential application of AI in cardiology and cardiac imaging. Despite the insightful coverage of this topic by Bozyel et al, 1 we have not seen any details about the potential usage of large language models (LLMs) in cardiovascular diseases, which is a recently evolving area. Therefore, we would like to offer different perspectives on the potential of LLMs in cardiovascular diseases as clinical decision support systems.…”

“…We read with great interest the article by Bozyel et al, 1 published in the February 2024 issue of the Anatolian Journal of Cardiology , which assessed artificial intelligence (AI)-based clinical decision support systems in cardiovascular diseases. This article provides detailed information about the current status and potential application of AI in cardiology and cardiac imaging.…”

Reply to Letter to the Editor: “Large Language Models: Could They Be the Next Generation of Clinical Decision Support Systems in Cardiovascular Diseases?”

“…We have reviewed the feedback 1 on our article 2 and are glad to touch the artificial intelligence (AI)-driven large language models (LLMs), which are reshaping various facets of cardiology.…”