Affiliation:
1. SASTRA University, India
2. Velammal Engineering College, India
3. Dr. M.G.R Educational and Research Institute, India
Abstract
The revolutionary integration of unmanned aerial vehicle (UAV) communication, metaverse technology, learning techniques, and cloud computing in the healthcare industry is investigated in this chapter. Unmanned aerial vehicles (UAVs) are capable of collecting a wide variety of data, which can then be viewed in the metaverse. In order to detect illnesses at an earlier stage, machine learning is powered by cloud computing. At the same time that ethical concerns and regulatory problems are being highlighted, the necessity of international collaboration is being emphasized. Applications in the real world illustrate a future in which medical care is not limited by geographic boundaries; it will be possible to receive treatment remotely and receive medical education on a global scale. The chapter is a representation of a collective aspiration to make healthcare a fundamental human right, so rewriting the history of human compassion and the advancement of medical technology.
Reference24 articles.
1. Task offloading in edge computing for machine learning-based smart healthcare
2. Deep learning for unmanned aerial vehicles detection: A review
3. Metaverse communications, networking, security, and applications: Research issues, state-of-the-art, and future directions.;M.Ali;IEEE Communications Surveys and Tutorials,2023
4. Harnessing the Potential of the Metaverse and Artificial Intelligence for the Internet of City Things: Cost-Effective XReality and Synergistic AIoT Technologies
5. A Review of the Latest Innovations in UAV Technology. Journal of Instrumentation;A.Budiyono;Automation and Systems,2023