  Telemedicine networks have seen significant changes in their capacity,
monitoring, management, and control framework during the previous decades. The
evolution of network capacity, control, and management for Unmanned Aerial
Vehicle (UAV) & Software-Defined Networks (SDN) as support to telemedicine,
artificial intelligence in telemedicine networks, and capabilities in designing
a telemedicine network with respect to its performance and customization is
presented in this study, with a historical history and a future view. The first
section of the article goes over the history of traffic and capacity expansion,
as well as future projections. By introducing a medical and image data
communication protocol for telemedicine, the second section examines the
technological constraints of expanding capacity in the era of UAV & software
defined networking. The third section discusses ways to maximize network
capacity by considering quality of service (QoS) capacity issues. Finally, the
article explores how to construct a telemedicine network that can provide
performance, customization, and capabilities to keep up with increased traffic
in the coming decades. Research gaps and future directions were presented in
the last section
