Insight from Parallel Doctors of Parallel Hospitals: New AI for New Medicine and Health Sciences

Fei-Yue Wang; Jing Yang; Jiaxi Liu; Yongjun Wang

doi:10.1109/JAS.2025.125999

IEEE/CAA Journal of Automatica Sinica

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F.-Y. Wang, J. Yang, J. Liu, and Y. Wang, “Insight from parallel doctors of parallel hospitals: new ai for new medicine and health sciences,” IEEE/CAA J. Autom. Sinica, 2025. doi: 10.1109/JAS.2025.125999

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F.-Y. Wang, J. Yang, J. Liu, and Y. Wang, “Insight from parallel doctors of parallel hospitals: new ai for new medicine and health sciences,” IEEE/CAA J. Autom. Sinica, 2025. doi: 10.1109/JAS.2025.125999

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Insight from Parallel Doctors of Parallel Hospitals: New AI for New Medicine and Health Sciences

doi: 10.1109/JAS.2025.125999

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Author Bio:
Fei-Yue Wang (Fellow, IEEE) is currently the Theodore von Karman Professor at the DeSci Center of Parallel Intelligence of Obuda University, Budapest, Hungary, also a distinguished professor at the Macau University of Science and Technology and University of Chinese Academy of Sciences, China. He is the founding director and chief scientist of the State Key Laboratory for Management and Control of Complex Systems and the College of Artificial Intelligence at Chinese Academy of Sciences. Dr. Wang have been working on applying AI and Robotics for medical and healthcare systems since 1990s. His current research focuses on methods and applications for parallel systems, social computing, and knowledge automation. Dr. Wang received the IEEE ITS Outstanding Application and Research Awards in 2009, 2011, and 2015, and the IEEE Norbert Wiener Award in 2014. In 2021, he became the IFAC Pavel J. Nowacki Distinguished Lecturer. In 2024, he received IEEE CRFID Emily Sopensky Meritorious Service Award, IEEE SMC Lotfi A. Zadeh Pioneer Award, as well as 2025 IEEE Transportation Technologies Award. He is a Fellow of the International Council on Systems Engineering, International Federation of Automatic Control, American Society of Mechanical Engineers, and American Association for the Advancement of Science

Jing Yang is currently a Ph.D. candidate at the State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China. She received a bachelor's degree from Beijing University of Chemical Technology in 2020. The primary focus of her research is parallel intelligence and autonomous systems. She has published over 40 papers in leading engineering journals and conferences, such as IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE/CAA Journal of Automatica Sinica, Information Fusion and 22nd IFAC Conference on Technology, Culture and International Stability. She served as a session chair for the parallel manufacturing session at 2023 IEEE International Conference on Digital Twins and Parallel Intelligence (DTPI)

Jiaxi Liu received the B.A. degree in Sociology from Tulane University, New Orleans, LA, USA, and the M.S. degree in Social Network Analysis from the University of Manchester, Manchester, U.K. Her research interests include social network analysis and the application of complex systems in sociology, with a particular focus on structural composition, dynamic patterns, and societal impacts within social operations, as well as corresponding countermeasures informed by complex systems approaches. She has conducted interdisciplinary research integrating computational modeling, network theory, and social inequality studies, aiming to develop predictive frameworks for analyzing power and resource flows in modern social systems

Yongjun Wang is a professor and the president of Beijing Tiantan Hospital, Capital Medical University. Dr. Wang has worked on the classification and standardized of prevention and control strategies of cerebrovascular diseases based on the pathologies and pathogenesis of stroke. He has published over 400 papers in several top clinical journals including the NEJM, JAMA, and Circulation. Since 2016, he has served as the Editor-in-Chief of the international journal Stroke & Vascular Neurology. Dr. Wang received WSO President’s Award in 2022 and the William M. Feinberg Award for Excellence in Clinical Stroke in 2025
Corresponding author: Fei-Yue Wang, e-mail: feiyue.wang@ia.ac.cn; Yongjun Wang, e-mail: yongjunwang@ncrcnd.org.cn
Received Date: 2025-10-08
Accepted Date: 2025-10-18

Available Online: 2023-10-08

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References

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Insight from Parallel Doctors of Parallel Hospitals: New AI for New Medicine and Health Sciences

doi: 10.1109/JAS.2025.125999

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