Integrating AI, ChatGPT, and ML for Healthcare and Cybersecurity: A Review of Cloud-Based Analytics, Disease Detection, and Data Protection Frameworks

Abstract

The scope of the review is the implementation of Artificial Intelligence (AI), Machine Learning (ML) and ChatGPT in healthcare and cybersecurity related to analytics on clouds, disease detection, and data protection systems. AI and ML can be used to increase the accuracy of diagnoses, predictive analytics, and clinical decisions, whereas ChatGPT can be used to facilitate communication and data interpretation. Cloud computing provides the opportunity of scalable and secure data management and real-time analytics. At the same time, AI-based security solutions can ensure the protection of sensitive medical data via automated threat detection and response. In spite of these innovations, issues like data privacy, interoperability and ethical issues remain a challenge. The article reveals the existing innovations, gaps in research, and future trends in the creation of intelligent, secure and ethical healthcare systems using AI and cloud technologies.