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ORIGINAL RESEARCH article
Front. Med.
Sec. Precision Medicine
Volume 12 - 2025 | doi: 10.3389/fmed.2025.1534551
This article is part of the Research Topic Integrating AI and Machine Learning in Advancing Patient Care: Bridging Innovations in Mental Health and Cognitive Neuroscience View all articles
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This comprehensive study explores the transformative potential of sixth-generation (6G) technology in healthcare, with a focus on smart hospitals. It examines the architectural developments and sophisticated techniques underpinning 6G integration in healthcare settings, highlighting how enhanced connectivity, ultralow latency, and extensive device integration can revolutionize healthcare delivery. The proposed 6G-based smart hospital model integrates cutting-edge technologies including the Internet of Things (IoT), artificial intelligence (AI), blockchain, telemedicine, robotics, and advanced data analytics. This synergy aims to create a highly efficient and responsive healthcare environment, improving patient care, resource management, and overall hospital efficiency. However, the study also addresses the challenges associated with 6G deployment in smart hospitals, including security risks, interoperability issues, and ethical concerns. It emphasizes the need for robust regulatory frameworks to ensure ethical patient data management and protect sensitive healthcare information. By providing a thorough analysis of both the transformative potential and the challenges of 6G-based smart hospitals, this research contributes valuable insights into the future of healthcare technology and its role in redefining patient care and hospital management.
Keywords: Health Care, Telemedicine, 6G, Smart hospital, AI, IoT, Advanced waveforms, big data
Received: 26 Nov 2024; Accepted: 24 Mar 2025.
Copyright: © 2025 KUMAR, Masud, Alsharif, Gaur and Nanthaamornphong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Aziz Nanthaamornphong, Prince of Songkla University, Phuket Campus, Thailand, Phuket, Thailand
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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