Advancing Healthcare Security: The Role of AI, Deep Learning, and Machine Learning in Cybersecurity, Information Access Management, Cardiovascular Devices, Aerodynamics, Chatgpt Integration, and Cancer Medicine

Abstract

This paper identifies and discusses the role of integrating healthcare technologies, including AI, DL, and the Internet of Medical Things (IoMT). In this paper, AI and the various sub-disciplines are proposed as key to increasing healthcare security, protecting patients’ data privacy, and improving access control systems. Secondly, it explores how artificial intelligence is transforming cardiovascular devices through real-time and analysis of patient data that can greatly enhance the result. AI in the field of aerodynamics is also described and its possibility to advance medical devices and technologies for enhanced accuracy and performance is also described. Besides, the paper presents how the AI models such as Chatgpt in helping healthcare workers to provide diagnostics and patient communication and how such models support the development of individual cancer therapy and diagnostics based on targeted research and analytics. Such an approach emphasizes the ability of AI not only to solve the problems in the sphere of healthcare security but also to open new opportunities that relate to various advancements in the spheres of medicine, improvements in patients’ conditions and more effective organization of diagnostics and treatment processes.