AI, ChatGPT, and Machine Learning in Healthcare and Cybersecurity: Insights from Cloud Analytics, Graph Neural Networks, and Intelligent Systems

Abstract

This review examines the role of Artificial Intelligence (AI), ChatGPT, Machine Learning (ML), and cybersecurity in the contemporary healthcare systems. Graph Neural Networks (GNN) or cloud-based analytics, which are AI-based models, improve disease detection, predictive diagnostics, and personalized treatment. ChatGPT assists with clinical decision-making, interaction with patients, and interpretation of data by means of natural language processing. At the same time, intrusion detection and searchable encryption security systems based on graphs protect confidential medical information. Combining these technologies, it becomes possible to have intelligent, secure, and adaptable healthcare ecosystems. The review identifies the developments in the present, ethical concerns, and future perspectives on the realization of trustworthy, data-driven, and cyber-resilient healthcare innovations in the quest to enhance clinical efficiency and patient safety.