AI-Powered Healthcare Transformation: A Review of Machine Learning, Predictive Analytics, Block chain Applications, Data Analytics, Supply Chain Efficiency, and Cybersecurity Challenges

Abstract

The application of Artificial Intelligence (AI) is revolutionizing healthcare using machine learning, predictive analytics, data analytics, block chain, supply chain optimization and cybersecurity. These technologies improve diagnosis, treatment and efficiency in operations and make the personalized and preventive care possible. Clinical decision-making is enhanced by machine learning and predictive models, whereas data analytics facilitate evidence-based practice. Block chain guarantees safe, transparent management of health data, and AIs optimize the supply of medical resources. Nevertheless, there are the issues of data privacy, algorithm bias, transparency deficit, and cybersecurity risks. Nevertheless, despite these problems, the adoption of emerging technologies can provide a strong model of creating effective, safe, and patient-centered healthcare systems in the future.