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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 |
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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.
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Received: 16 September 2017
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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) |
About author:: 王飞跃(通讯作者),男,1961年生,博士,研究员,主要研究方向为智能系统和复杂系统的建模、分析与控制.E-mail:feiyue.wang@ia.ac.cn. 张 梅,女,1984年生,博士,助理研究员,主要研究方向为光学设计、三维图像采集、三维图像显示.E-mail:mei.zhang@ia.ac.cn. 孟祥冰,男,1990年生,博士研究生,主要研究方向为计算机视觉.E-mail:mengxiangbing2014@ia.ac.cn. 王 蓉,女,1991年生,博士研究生,主要研究方向为计算机视觉.E-mail:wangrong2013@ia.ac.cn. 王 晓,女,1988年生,博士,助理研究员,主要研究方向为社会计算、知识自动化、知识机器人、社会交通、平行智能.E-mail:x.wang@ia.ac.cn. 张志成,男,1977年生,博士,副主任医师,主要从事相关脊柱外科手术.E-mail:dr_zhangzhicheng@126.com. 陈 鸰,男,1977年生,博士,副主任医师,主要从事相关胃肠手术.E-mail:chendoc@126.com. 葛均华,男,1977年生,博士,主治医师,主要研究方向为冠心病的介入治疗、急性心肌梗死急诊介入治疗.E-mail:gejunhua198110@163.com. 杨 田,女,1984年生,博士,副教授,主要研究方向为粒计算、拓扑学、平行理论、数据约简特征提取.E-mail:math_yangtian@126.com. |
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