Parallel Medical Devices and Instruments: Integrating Edge and Cloud Intelligence for Smart Treatment and Health Systems

Fei Lin; Tommy Gao; Dali Sun; Qinghua Ni; Xianting Ding; Jing Wang; David Wenzhong Gao; Fei-Yue Wang

doi:10.1109/JAS.2024.124614

Volume 12 Issue 4

Apr. 2025

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2025 > 12(4): 651-654

F. Lin, T. Gao, D. Sun, Q. Ni, X. Ding, J. Wang, D. Gao, and F.-Y. Wang, "Parallel medical devices and instruments: Integrating edge and cloud intelligence for smart treatment and health systems," IEEE/CAA J. Autom. Sinica, vol. 12, no. 4, pp. 651–654, Apr. 2025. doi: 10.1109/JAS.2024.124614

Citation:

F. Lin, T. Gao, D. Sun, Q. Ni, X. Ding, J. Wang, D. Gao, and F.-Y. Wang, "Parallel medical devices and instruments: Integrating edge and cloud intelligence for smart treatment and health systems," IEEE/CAA J. Autom. Sinica, vol. 12, no. 4, pp. 651–654, Apr. 2025. doi: 10.1109/JAS.2024.124614

Citation:

F. Lin, T. Gao, D. Sun, Q. Ni, X. Ding, J. Wang, D. Gao, and F.-Y. Wang, "Parallel medical devices and instruments: Integrating edge and cloud intelligence for smart treatment and health systems," IEEE/CAA J. Autom. Sinica, vol. 12, no. 4, pp. 651–654, Apr. 2025. doi: 10.1109/JAS.2024.124614

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Parallel Medical Devices and Instruments: Integrating Edge and Cloud Intelligence for Smart Treatment and Health Systems

doi: 10.1109/JAS.2024.124614

Fei Lin^{1
,
,},
Tommy Gao^{2
,
,},
Dali Sun^{2
,
,},
Qinghua Ni^{1
,
,},
Xianting Ding^{3
,
,},
Jing Wang^{4
,
,},
David Wenzhong Gao^{5
,
,},
Fei-Yue Wang^{1, 6
,
,}

1.
Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Macau 999078, China
2.
Knoebel Institute for Healthy Aging, Faculty in the Department of Electrical and Computer Engineering, University of Denver, Colorado 80210 USA
3.
Institute for Personalized Medicine and the School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China
4.
State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
5.
Department of Electrical and Computer Science, University of Denver, Colorado 80210 USA
6.
State Key Laboratory for Management and Control of Complex Systems, Chinese Academy of Sciences, Beijing 100190

More Information

Author Bio:
Fei Lin is currently pursuing the Ph.D. in Intelligent Science and Systems at Macau University of Science and Technology, Macau, China. His research interests include parallel intelligence, AI for Science, large language models, and Multimodal Perception

Tommy Gao is currently pursuing the Ph.D. in Electrical and Computer Engineering at the University of Denver, Colorado, USA. His research interests are in cancer detection and medical device development

Dali Sun is an Assistant Professor at the Knoebel Institute for Healthy Aging, Department of Electrical and Computer Science, University of Denver, Colorado, USA. His research focuses on bio-instrumentation and technology development for cancer detection and treatment

Qinghua Ni is currently pursuing the Ph.D. degree in Intelligent Science and Systems Study with the Faculty of Innovation Engineering, Macau University of Sciences and Technology, Macau, China. Her research interests include parallel intelligence, blockchain and DAOs, and social computing

Xianting Ding is Deputy Director of the Institute for Personalized Medicine and Professor at the School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China. His research interests include personalized diagnostics techniques and personalized medicine optimization

Jing Wang is an Engineer at the Institute of Automation, Chinses Academy of Sciences (CASIA), Beijing, China. His research interests include artificial intelligence, intelligent medical, parallel medical, and natural language processing

David Wenzhong Gao is a Full Professor at Department of Electrical and Computer Science, University of Denver, Colorado, USA. His research is focused on Parallel Energy, Parallel Intelligence, Automation Science and Engineering, Digital Twin Science and Technology, Power and Energy

Fei-Yue Wang (Fellow, IEEE) is Chief Scientist and the Founding Director of the SKL-MCCS, CAS, and also with the Macau University of Science and Technology, Macau, China. His research interests include parallel intelligence, social computing, knowledge automation, blockchain and DAOs, complex systems and complexity, and robotics and automation. The bio of Professor Fei-Yue Wang can be found at https://ieeexplore.ieee.org/author/37277656000
Available Online: 2025-04-03

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Parallel Medical Devices and Instruments: Integrating Edge and Cloud Intelligence for Smart Treatment and Health Systems

doi: 10.1109/JAS.2024.124614

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