The integration of Artificial Intelligence (AI) into autonomous robotic surgery represents a significant advancement in the field of medicine. This paper explores the various applications of AI in enhancing the precision, efficiency, and safety of robotic surgical procedures. The use of AI algorithms in autonomous robotics allows for real-time data analysis, predictive analytics, and decision support systems, which can significantly improve patient outcomes. We discuss the implementation of AI in enhanced haptic feedback, predictive planning, and adaptive navigation systems. Additionally, we delve into the application of machine learning to analyze vast amounts of medical data, enabling personalized treatment plans and preoperative risk assessment. The paper emphasizes the potential of AI to reduce human error, streamline surgical processes, and contribute to the overall development of minimally invasive surgical techniques. While challenges such as data privacy, ethical considerations, and technical limitations remain, the integration of AI in robotic surgery is poised to revolutionize surgical practice, offering new opportunities for precision and patient care.
Martin, D. Applications of Artificial Intelligence in Autonomous Robotic Surgery. Transactions on Engineering and Technology, 2019, 1, 5. https://doi.org/10.69610/j.tet.20191230
AMA Style
Martin D. Applications of Artificial Intelligence in Autonomous Robotic Surgery. Transactions on Engineering and Technology; 2019, 1(1):5. https://doi.org/10.69610/j.tet.20191230
Chicago/Turabian Style
Martin, David 2019. "Applications of Artificial Intelligence in Autonomous Robotic Surgery" Transactions on Engineering and Technology 1, no.1:5. https://doi.org/10.69610/j.tet.20191230
APA style
Martin, D. (2019). Applications of Artificial Intelligence in Autonomous Robotic Surgery. Transactions on Engineering and Technology, 1(1), 5. https://doi.org/10.69610/j.tet.20191230
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