Artificial Intelligence Driven Healthcare: A Comprehensive Review of Data Analytics, Clinical Applications, and Future Directions

Abstract

Artificial intelligence (AI) and data analytics are changing the nature of healthcare by providing opportunities to predict diagnostics, personalized treatment, and the efficiency of work. In this review, present-day applications are examined such as machine learning model to detect diseases, support clinical decision-making and monitor patients, and the importance of the big data in enhancing quality and accuracy. It also looks at ethical, legal, and social factors, like bias, transparency, and privacy of data, and issues, such as interoperability, regulatory obstacles, and model generalizability. Future trends are focused on federated learning, multimodal AI, digital twins, and AI-robotics integration, which are in the direction of intelligent and patient-centered healthcare systems. Deployment is a crucial responsibility that should be deployed to get the maximum.