Parallel Surgery: An ACP-Based Approach for Intelligent Operations
WANG Fei-Yue1,2,7, ZHANG Mei1,2, MENG Xiangbing1,2, WANG Rong1,2, WANG Xiao1,3,ZHANG Zhicheng4, CHEN Ling5, GE Junhua6, YANG Tian7
1.The State Key Laboratory for Management and Control for Complex Systems, Institute of Automation,Chinese Academy of Sciences, Beijing 1001903 2.Parallel Optics Technology Innovation Center, Qingdao Academy of Intelligent Industries, Qingdao 2660003 3. Parallel Workshop, Qingdao Academy of Intelligent Industries, Qingdao 266000 4. PLA Army General Hospital, Beijing 100700 5. Xiangya Hospital Central South University, Changsha 410008 6. The Affiliated Hospital of Qingdao University, Qingdao 266071 7. Research Center of Computational Experiments and Parallel Systems, National University of Defense Technology, Changsha 410073
Abstract The ACP theory that comprises artificial societies, computational experiments, and parallel execution is playing an essential role in intelligent technology, especially in modeling and control of complex systems. The ACP theory is introduced into the medical and surgery area, and the basic framework and key techniques for parallel surgery is proposed, in which the artificial surgical systems are used for modeling the doctors and patients to express complex real surgical conditions. The computational experiments are utilized to propose and evaluate a variety of operation plans. Finally, the parallel execution is conducted via interaction to optimize the operation plan and play a key role in real-time operation guidance. This parallel surgery system integrates many technologies including rule extraction, computer graphics, virtual reality/augment reality, machine learning and knowledge automation in order to highly improve the efficiency and accuracy of surgical operations.
Fund:Supported by Key Program of National Natural Science Foundation of China(No.61533019,71232006,61233001), National Natural Science Foundation of China(No.61702519,61309024), Program for Entrepreneurial and Innovative Leading Talents of Qingdao(No.15-10-3-15-(46)-zch)
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2017, Vol. 30 
