Revolutionizing Healthcare Delivery: The Role of AI and Machine Learning in Personalized Medicine and Predictive Analytics

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) are turning the face of healthcare as we know it by providing smart healthcare management. This paper will explore the revolutionary nature of AI and ML in the context of healthcare delivery systems with a focus on the applications to personalization of treatment and corresponding prognosis. The study uses an independent variable, quantitative, survey with a dependent variable, qualitative case study of high-performing healthcare organisations. This analysis shows that integrating AI effectiveness in the context of personalized medicine boosts diagnosis, treatment, and satisfaction. On the other hand, predictive data analysis has the advantages of early disease diagnosis and better use of resources that are allied to preventive medicine. The study also presents data integration issues, ethical concerns, and the need for strong regulatory measures. Thus, the value of AI and ML innovations is in bringing more positive changes to patients' experience, improving the functioning of healthcare organizations, and even decreasing healthcare costs, in general, changing the future of modern healthcare. This work shows the focus of AI and ML in improving healthcare as a system by making it efficient, personalized, and predictive in the future.