A Comprehensive Review of AI-Driven Healthcare and Health Informatics with Emphasis on Machine Learning, Nanocarrier Drug Delivery, Computational Methods, Cybersecurity, and Quality Assurance

Abstract

Healthcare and health informatics AI solutions are changing the future of the medical profession by facilitating predictive, personalized, and efficient medical care. This review examines the incorporation of machine learning, nanocarrier drug delivery, computational methods, cybersecurity, and quality assurance of healthcare systems. Machine learning improves diagnostics, predictive analytics, and personalization of treatment, and computational methods improve the process of molecular modeling, data analysis, and optimization of nanocarriers. Nanocarriers allow them to deliver drugs that will have a high level of therapeutic effectiveness and safety because they are delivered effectively and in a controlled way. Cybersecurity protects sensitive medical information and AI systems by threats, and quality assurance mechanisms guarantee the model reliability, regulatory, and ethical use. These technologies have the ability to approach the future of precision and intelligent healthcare delivery because of its synergistic integration which enhances an overall healthcare ecosystem that promotes innovation, patient safety, and better clinical outcomes.