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AI-based predictive modeling: applications in cardiology

2024·6 Zitationen·International Journal of Surgery Global HealthOpen Access
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6

Zitationen

1

Autoren

2024

Jahr

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.

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Autoren

Institutionen

Themen

Cardiovascular Function and Risk FactorsMachine Learning in HealthcareArtificial Intelligence in Healthcare and Education
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