Integration of Computer Vision Techniques, UAV, and Metaverse Analysis to Uplift Healthcare Services

Abstract

Unmanned aerial vehicles (UAVs) play a vital role in healthcare applications, specifically in rural and isolated regions. The metaverse, a collective virtual shared place, offers a one-of-a-kind platform for immersive and collaborative healthcare data analysis. Improved patient outcomes and healthcare efficiency can be achieved by the widespread adoption of computer vision (CV) tools and techniques in clinical settings. The synergy between CV, metaverse analysis, and UAV communication offers a transformative approach to healthcare delivery. This study investigates the incorporation of computer vision methodologies and strategies into the metaverse framework to augment healthcare services provided by UAV communication. UAVs with extensive communication capabilities act as a link between the physical and metaverse, allowing for seamless data flow and analysis. This multidisciplinary approach offers real-time, immersive insights that improve diagnosis, decision-making, and overall patient care, and it has the potential to completely transform the way healthcare is delivered.