Key result
Artificial intelligence demonstrates significant potential in enhancing diagnostic accuracy, risk stratification, and treatment optimization for coronary artery disease and atrial fibrillation.
Why the study?
Given the potential of artificial intelligence to revolutionize coronary artery disease and atrial fibrillation care, understanding its current integration and limitations is essential for clinicians and researchers.
Does the use of artificial intelligence improve diagnosis, risk stratification, and management in patients with coronary artery disease and atrial fibrillation compared to conventional methods?
Does the use of artificial intelligence improve diagnosis, risk stratification, and management in patients with coronary artery disease and atrial fibrillation compared to conventional methods?
Answers are grounded in this paper and cite their sources.
Artificial intelligence shows significant promise in enhancing diagnostic accuracy, risk stratification, and treatment strategies for coronary artery disease and atrial fibrillation, signaling a paradigm shift in cardiovascular care.
Recent strides in cardiology have introduced a transformative era by integrating artificial intelligence (AI) into coronary artery disease (CAD) management. This comprehensive review comprehensively explores AI applications in CAD, including diagnosis, screening, risk stratification, treatment assistance, and prognosis. Acknowledging AI's potential to revolutionize CAD care, the review emphasizes understanding current integration and limitations for clinicians and researchers. The manuscript explores the current and potential applications of AI in managing cardiovascular disorders underscoring the developments in cardiovascular care for CAD and atrial fibrillation (AF). The manuscript has been drafted based on scale for the assessment of narrative review articles (SANRA) guidelines to search, compile, contemplate, and extract data. Investigators independently searched PubMed, and Google Scholar following the protocol mentioned in the literature. This manuscript illuminates the evolving landscape of AI in CAD and AF management. While showcasing AI's promise in diagnostic accuracy and treatment strategies, the review emphasizes a cautious yet optimistic approach. The comparison with conventional methods reveals AI's efficacy, signalling a paradigm shift in cardiovascular care. Acknowledging limitations, researchers and clinicians are urged to navigate the integration of AI with discernment. The synthesis of optimism and caution guides the harnessing of AI's transformative potential in advancing cardiovascular healthcare.
No takes yet. Share an insight, caveat, or question.
Sharma et al. (2024) conducted a review in Coronary artery disease and atrial fibrillation. Artificial intelligence vs. Conventional methods was evaluated. Artificial intelligence demonstrates significant potential in enhancing diagnostic accuracy, risk stratification, and treatment optimization for coronary artery disease and atrial fibrillation.
Synapse has enriched 10 related papers. Consider them for comparative context: