Due to the fast development of healthcare robotics, the incorporative combination of varied technologies, including the Internet of Things (IoT), Artificial Intelligence (AI), Advanced Kinematic Capabilities (AKC), and Medical Robots (MR) have gained the vocational responsibility of improving surgical precision, patient rehabilitation, and interaction between humans and robots. This paper offers a comparative analysis of these technologies, based on their performance in the three principal areas, such as surgery and patient care, rehabilitation and assistive robotics, and healthcare matters facing us in the future. The records of experimental outcomes were captured at varied sizes of input (10 to 500) measuring such important parameters as accuracy, feedback integration, mobility support, and fault tolerance. As the graphical comparison can demonstrate, both AI and AKC work well in certain areas where the complexity is low whereas their efficiency decreases when the task becomes complex. The Proposed Model, on the other hand, shows consistent and best results in all the domains reaching maximum of 88.22% in rehabilitation and 89.65% in future healthcare robotics. Such results affirm the prospects of mixed-technology systems in the establishment of smart, flexible, and promising healthcare robot platforms.