Applications of ML/DL for Robotic Surgery

Abstract

Since the mid-1990s, surgical robots have been employed in hospitals and clinical facilities. To the patient, there are benefits to be found of using robots in place of conventional surgical techniques, like lower infection and faster recoveries, but the method is less comfortable and more dangerous for the person operating on the patient. Development and progression of surgical robotic technology, which focuses on the memory and cognitive capacities of surgeons as well as in- and outside-the-channel operation in the last decades, surgeons, robotic systems that can both serve the internal and complex anatomy have come to fruition. new technology sensors have made it possible for more than one surgical instrument to be used at once with improved efficacy, lower cost, which leads to more room for patients to receive treatment With the rise of technologically-mediated imaging, robot systems, artificial intelligence, and machine learning, along with state-the-of-the-the-the-art navigation systems, is fundamentally changing the approach to surgery. As you can see, many before and after surgery, but not one of the most recent technologies: Pre-and post-operative planning are used as well as use of a Machine Learning innovation. Finally, we shall present the existing state of machine learning in artificial intelligence surgery, as well as its new technologies and greatest challenges.