Robotic Surgery Systems for Neurosurgical Applications Using AI

Abstract

Artificial intelligence (AI) into robotic surgery systems is changing neurosurgery in a big way, with new ways to be more precise, work faster, and help patients do better. In neurosurgery, which requires a lot of complicated and delicate processes, AI-powered robotic systems can be very helpful. These systems can help the surgeon make better decisions in real time, navigate more accurately, and make mistakes less likely. Robotic systems that are controlled by AI, like robotic arms and smart imaging technologies, make it possible to do high-resolution imaging, 3D mapping, and prediction analytics. This makes it possible to do extra correct remedies in the mind, backbone, and tumors. While AI is blended with robot structures, it makes it easier to address statistics all through surgery, examine on the fly, and make changes based on the affected person's state. Additionally, these gadgets can make minimally invasive remedies possible that may shorten the time it takes to heal and enhance consequences after surgical procedure. AI can help discover crucial structures, guide the robotic in real time, and locate the fine surgical operation paths via the use of deep gaining knowledge of strategies. While robots and AI paintings together, they make neurosurgery more specific, much less probable to head incorrect, and more assured within the surgeons. There are technical features, rewards, and difficulties to growing and using AI-incorporated robot surgical operation systems in neurosurgical settings. This study talks about them. It also shows future trends and possible changes in this area that is changing very quickly. Finally, robotic surgery systems with AI could completely change neurosurgical care. They could make treatments safer and more effective, which would eventually improve the results for patients in the field of neurosurgery.

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