Leveraging Artificial Intelligence for Healthcare Data Analytics: A Comprehensive Survey

The healthcare sector is on the brink of a significant transformation, driven by the rapid advancements in machine learning technology. In this comprehensive survey article, we delve into the various applications of machine learning in healthcare, highlighting its potential to bring groundbreaking improvements in patient care, diagnosis, and public health management. One critical area of focus is predictive analytics, where machine learning algorithms utilize extensive electronic health records and claims data to predict outcomes like hospital readmissions and the development of chronic diseases. Additionally, we explore the role of machine learning in medical imaging, which enhances accurate disease diagnosis and treatment selection through the analysis of radiological images. We also discuss the integration of machine learning into clinical decision support systems, empowering healthcare providers to make more informed decisions, ultimately leading to improved patient outcomes. Lastly, the article delves into population health management, demonstrating how machine learning can analyze extensive datasets to identify trends, risks, and public health priorities. The insights presented in this article underscore the potential of machine learning to revolutionize healthcare while shedding light on the challenges and opportunities ahead. These developments are poised to shape the future of healthcare delivery and enhance the well-being of patients worldwide.