The Impact of Artificial Intelligence on Cardiovascular Disease Diagnosis: A Review

Ifra Chaudhary, Hassan Anwar
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Abstract

Background: Cardiovascular diseases present a significant global health challenge and remain the leading cause of death worldwide. However, traditional approaches to prevention, diagnosis, and treatment struggle to keep up with the increasing prevalence of these diseases. Aim: To enhance patient outcomes and optimize healthcare resource utilization. Artificial intelligence (AI), specifically machine learning and deep learning, has rapidly emerged as a promising tool with the potential to revolutionize various aspects of cardiovascular disease management, including detection, diagnosis, and treatment. Method: Reviewed the current literature surrounding AI techniques using PubMed, Science Direct, NCBI and Google Scholar, specifically exploring machine learning and deep learning, and their application in diagnosing heart disease. The focus was on AI's role in improving diagnostic techniques such as echocardiography, cardiac magnetic resonance imaging, computed tomography angiography, and electrocardiogram analysis. Results: AI has promising applications in various aspects of cardiovascular disease management. Its application in diagnostic techniques can help detect, diagnose, and treat heart disease, ultimately leading to more accurate and personalized treatments. Practical Implication: By integrating these advanced technologies into clinical practice, we can transform the diagnosis and management of heart diseases, leading to more accurate and personalized diagnostics and treatments. Conclusion: AI presents a significant potential in transforming the global health landscape by enhancing cardiovascular disease management. By leveraging these advanced technologies, clinicians can improve patient care and overall outcomes while addressing the increasing prevalence of these diseases. Keywords: Heart Diseases, Diagnosis, Deep Learning, Machine Learning, Public Health.
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人工智能对心血管疾病诊断的影响:综述
背景:心血管疾病是一项重大的全球健康挑战,仍然是全球死亡的主要原因。然而,传统的预防、诊断和治疗方法难以跟上这些疾病日益增长的发病率。目的:提高患者疗效,优化医疗资源利用。人工智能(AI),特别是机器学习和深度学习,已迅速成为一种前景广阔的工具,有望彻底改变心血管疾病管理的各个方面,包括检测、诊断和治疗。研究方法使用 PubMed、Science Direct、NCBI 和 Google Scholar 查阅了当前有关人工智能技术的文献,特别是探讨了机器学习和深度学习及其在心脏病诊断中的应用。重点是人工智能在改进诊断技术方面的作用,如超声心动图、心脏磁共振成像、计算机断层扫描血管造影和心电图分析。研究结果人工智能在心血管疾病管理的各个方面都有着广阔的应用前景。它在诊断技术中的应用有助于检测、诊断和治疗心脏病,最终实现更准确和个性化的治疗。实际意义:通过将这些先进技术融入临床实践,我们可以改变心脏病的诊断和管理,从而实现更准确、更个性化的诊断和治疗。结论通过加强心血管疾病管理,人工智能在改变全球健康状况方面具有巨大潜力。通过利用这些先进技术,临床医生可以改善患者护理和整体疗效,同时应对这些疾病日益增加的发病率。关键词心脏病 诊断 深度学习 机器学习 公共卫生
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