Parallel Eyes: An ACP-Based Smart Ophthalmic Diagnosis and Treatment
WANG Fei-Yue1,2, ZHANG Mei1,2, MENG Xiangbing1,2, WANG Yan3, MA Jiaonan3, LIU Wu4, WANG Xiao1,5
1.The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Aca-demy of Sciences, Beijing 100190 2.Parallel Optics Technology Innovation Center, Qingdao Academy of Intelligent Industries, Qingdao 266000 3.Tianjin Eye Hospital, Tianjin 300020 4.Beijing Tongren Hospital, Beijing 100730 5.Parallel Workshop, Qingdao Academy of Intelligent Industries, Qingdao 266000
Abstract The ACP theory, including artificial societies(A), computational experiments(C) and parallel execution(P), is the core of parallel intelligence. This theory plays an important role in modeling and controlling complex systems. With a complex structure, the human eye is an important organ for human to receive the information of the world, and it also has close connection with other organs of the body. In this paper, the ACP theory is introduced into the diagnosis and treatment of the human eye, and the basic framework of the parallel eye system is proposed. The artificial eye system(A) is built to continuously describe and update the virtual eye model and the virtual doctors represented with the medical knowledge of diagnosis and treatment of the human eye. The computer experiments(C) perform all kinds of experiments for predicting the development of the eye and evaluate the best diagnosis and treatment. Finally, the parallel execution(P) builds a bridge between the real world and the artificial world. It realizes the on-line, long-term guidance of the diagnosis process for the real eye, while the information of the artificial eye system is updated to follow the real eye. Many technologies are applied on the parallel eye system research to improve the efficiency of the diagnosis effectively, including knowledge automation, computer vision, knowledge mapping and machine learning. Based on the researches, the long-term, precise and efficient treatment for the human eye can be achieved.
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 Inno-vative Leading Talents of Qingdao City(No.15-10-3-15-(46)-zch)
About author:: (WANG Fei-Yue, Ph.D., professor. His research interests include modeling, analysis, and control of intelligent systems and complex systems.)(ZHANG Mei, Ph.D., research assistant. Her research interests include optical design, visual optics, 3D imaging acquisition and 3D imaging display.)(MENG Xiangbing, Ph.D. candidate. His research interests include computer vision.)(WANG Yan(Corresponding author), Ph.D., professor. Her research interests include ophthalmology, refractive surgery and visual optics.)(MA Jiaonan, master student. Her research interests include refractive surgery.)(LIU Wu, Ph.D., professor. His research interests include retinal disease.)(WANG Xiao, Ph.D., research assistant. Her research interests include social computing, knowledge automation, knowledge robots, social transportation and parallel intelligence.)
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2018, Vol. 31 
