Revolutionizing Healthcare: The Symbiosis of AI, ML, and Clinical Practice

Abstract

Machine learning (ML) has emerged as a pivotal force in healthcare, capturing widespread attention due to its potential to transform the industry. The fusion of enhanced computational capabilities with vast datasets has unlocked new horizons for utilizing ML algorithms in healthcare practices. Revolutionizing Healthcare: The Symbiosis of AI, ML, and Clinical Practice delves into the transformative impact of machine learning (ML) on healthcare. With the convergence of vast datasets and advanced computational capabilities, ML algo- rithms have become indispensable in revolutionizing cardiac care strategies. This paper illuminates the multifaceted applications of ML, spanning from clinical decision support systems to predictive analytics, enabling precise diagnostics and personalized treatment pathways. Emphasizing the integration of ML education into medical curricula, the paper navigates challenges such as data quality assurance and ethical considerations. By fostering a synergy between cutting-edge technology and compassionate patient care, this research underscores the pivotal role of ML in health care, enhancing patient outcomes, and shaping the future of healthcare.