A Comprehensive Review of AI and 5G-Enabled Secure Monitoring in IoMT-Based Healthcare Systems
Authors:- Research Scholar Er. Komal Garg, Professor Dr. Narender Kumar
Abstract:- The integration of Artificial Intelligence (AI) and 5G technology has transformed the Internet of Medical Things (IoMT), enabling smarter, faster, and more secure healthcare systems. This review critically examines the advancements and challenges of AI and 5G-enabled IoMT systems, with a focus on their applications in healthcare and the pressing issue of data security. The role of 5G in facilitating real-time monitoring, low-latency communication, and massive device connectivity is explored, alongside AI’s contribution to secure data processing, anomaly detection, and predictive analytics. Key challenges, such as vulnerabilities to cyberattacks, data privacy concerns, and the lack of interoperability, are analysed in detail. The review also provides a comparative analysis of existing IoMT security frameworks and AI-driven solutions, highlighting their strengths and limitations. Future directions in integrating advanced technologies like blockchain, federated learning, and edge computing into IoMT networks are discussed. This synthesis of emerging trends and innovative solutions serves as a roadmap for developing robust and secure healthcare ecosystems, leveraging AI and 5G to deliver real-time, patient-centred care while safeguarding sensitive medical data.
