article · Journal of Medicine Surgery and Public Health
Artificial intelligence is rapidly advancing across cardiology and altering clinical practices. A systematic review of peer-reviewed literature across several major scientific databases reveals wide-ranging uses for artificial intelligence in cardiovascular healthcare. These include diagnostic innovations, precision medicine, remote patient monitoring tools, drug discovery, and clinical decision support systems. Together, these technologies support cardiovascular medicine by improving diagnostic accuracy, refining treatment strategies, and modernising patient care. The ongoing development of these tools holds promise for delivering more personalised, efficient, and effective heart healthcare, which could enhance long-term patient outcomes. Nevertheless, several obstacles continue to hinder implementation. In particular, developers and healthcare systems must address issues related to algorithm accuracy, system interoperability, and the smooth integration of tools into existing clinical workflows before the full benefits can be realised in everyday cardiology practice.
Cardiovascular diseases remain a major global health burden, and artificial intelligence offers tools to detect conditions earlier and tailor treatments to individual patients. Understanding the breadth of current technological applications helps healthcare providers, developers, and policymakers identify both the most promising interventions and the operational hurdles, such as clinical workflow integration, that must be resolved to improve patient care safely.
The findings point towards applications in clinical decision support, diagnostic tools, remote monitoring, precision medicine, and drug discovery for cardiologists and healthcare providers. Because the abstract is a literature review identifying unresolved hurdles in algorithm accuracy, interoperability, and clinical workflow integration, these technologies range from exploratory research to varying stages of implementation, rather than fully resolved, off-the-shelf commercial solutions.
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Using Artificial intelligence technologies in cardiology has witnessed rapid advancements across various domains, fostering innovation and reshaping clinical practices. The study aims to provide a comprehensive overview of these AI-driven advancements and their implications for enhancing cardiovascular healthcare. A systematic approach was adopted to conduct an extensive review of scholarly articles and peer-reviewed literature focusing on the application of AI in cardiology. Databases including PubMed/MEDLINE, ScienceDirect, IEEE Xplore, and Web of Science were systematically searched. Articles were screened following a defined selection criteria. These articles' synthesis highlighted AI's diverse applications in cardiology, including but not limited to diagnostic innovations, precision medicine, remote monitoring technologies, drug discovery, and clinical decision support systems. The review shows the significant role of AI in reshaping cardiovascular medicine by revolutionising diagnostics, treatment strategies, and patient care. The diverse applications of AI in cardiology showcased in this study reflect the transformative potential of these technologies. However, challenges such as algorithm accuracy, interoperability, and integration into clinical workflows persist. AI's continued advancements and strategic integration in cardiology promise to deliver more personalised, efficient, and effective cardiovascular care, ultimately improving patient outcomes and shaping the future of cardiology practice.
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DOI: 10.1016/j.glmedi.2024.100109
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