Advancing Healthcare through AI-Driven Data Analytics: Integrating Machine Learning and Cybersecurity in Modern Computer Science

Abstract

Machine Learning (ML) and Artificial Intelligence (AI) are changing the healthcare sector through more sophisticated data analysis, predictive diagnosis, personalized care, and optimization of the work process. This review discusses the application of AI, ML and cybersecurity in the healthcare sector, explaining existing applications, advantages and limitations. The fundamental issues that will be covered are data quality, algorithmic bias, interpretability, patient privacy, and regulatory compliance. Future trends including precision medicine, real-time monitoring, automated workflows, and safe AI deployment are also covered in the article, and how they have the potential to build smarter, more effective and patient-centered healthcare systems.