Overview

Artificial Intelligence in Medical Robotics introduces novel ideas in medical robotics, focusing on applications of robots in surgery, nano-robotics, soft robots, and AI-enabled robots in the healthcare industry. The book also explores ethics and bias in the automation of healthcare, detailing the advance of AI for healthcare automation, robotic reinforcement learning, human-centered navigation, robotics, and visualization for ophthalmic surgery, automation in eye surgery, human-machine perception, interaction in surgery, and the most recent advances and challenges in assistive and surgical robots in healthcare. This book will be a great source of information for researchers and academics in artificial intelligence, robotics, automation in healthcare, and autonomy in systems.

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Mohamed Tounsi is an associate professor at Prince Sultan University, in Saudi Arabia. He is the founder of MEGDAM Data mining center in 2010, and was for several years chairman of the computer science department at PSU. His current research interests include designing algorithms, meta-heuristics, local search techniques, machine learning algorithms, and optimization in WSNs. He is very active in research and was granted a USTPO patent in the area of IoTs. He serves as a reviewer for a wide variety of journals, and is a senior member of the Automated Systems & Soft Computing Lab (ASSCL) at his university. Dr. Tounsi has expertise in meta-heuristics and optimization, IoT and robots controls, artificial intelligence, machine learning, and local search techniques. He has authored/co-authored several research papers in prestigious peer-reviewed journals, book chapters, and conference proceedings, and has participated in 30 European international, national and regional R&D projects. He is author of 30 JCR articles, 17 book chapters, three books, more than 200 papers presented at national and international congresses, four patents, four utility models and one industrial design.

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