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

Abstract: With the rapid development of technologies such as Artificial Intelligence (AI), edge computing, and cloud intelligence, the medical field is undergoing a fundamental transformation [1]. These technologies significantly enhance the medical system's capability to process complex data and also improve the real-time response rate to patient needs. In this wave of technological innovation, parallel intelligence, along with Artificial systems, Computational experiments, and Parallel execution (ACP) approach [2] will play a crucial role. Through parallel interactions between virtual and real systems, this approach optimizes the functionality of medical devices and instruments, enhancing the accuracy of diagnoses and treatments while enabling the autonomous evolution and adaptive adjustment of medical systems.

External IDs:dblp:journals/ieeejas/LinGSNDWGW25