AI-based predictive modeling: applications in cardiology

Ghulam H. Abbas
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Abstract

Predictive analytics have emerged as a powerful tool in cardiology, revolutionizing how patient care is delivered by leveraging artificial intelligence (AI) and machine learning (ML) algorithms. Healthcare professionals can now forecast the occurrence and progression of cardiovascular diseases with unprecedented accuracy. This breakthrough technology possesses the ability to fundamentally transform the field of cardiology, facilitating early detection, personalized treatment methodologies, and improving patient outcomes. The utilization of predictive analytics based on AI and ML represents a significant advancement that can optimize resource allocation, enhance clinical decision-making, and most importantly, benefit those affected by heart conditions. As the technology continues to grow more sophisticated through ongoing research and development, its full potential to revolutionize cardiovascular medicine and benefit patients worldwide has yet to be fully realized.
基于人工智能的预测建模:在心脏病学中的应用
预测分析已成为心脏病学领域的一个强大工具,它利用人工智能(AI)和机器学习(ML)算法彻底改变了为患者提供护理的方式。医疗保健专业人员现在可以前所未有的准确度预测心血管疾病的发生和发展。这一突破性技术有能力从根本上改变心脏病学领域,促进早期检测、个性化治疗方法和改善患者预后。利用基于人工智能和 ML 的预测分析技术代表着一项重大进步,它可以优化资源分配、加强临床决策,最重要的是,可以造福心脏病患者。随着这项技术在不断研发中日益成熟,其彻底改变心血管医学并造福全球患者的全部潜力还有待充分发挥。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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