Acoustic stimulation nerve regulation service management system combining AI and big data analysis
By constructing an acoustic stimulation neuromodulation system based on AIoT architecture and edge computing technology, the problems of personalized treatment plan formulation and data security in existing systems have been solved. This system achieves efficient, accurate, and secure closed-loop management of individualized acoustic stimulation neuromodulation, supporting personalized treatment and chronic disease management for a large number of patients.
Patent Information
- Application Number
- CN202511770313.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-28
- Publication Date
- 2026-03-03
AI Technical Summary
Existing acoustic stimulation non-invasive neuromodulation systems lack personalized treatment plans supported by AI algorithms and big data analysis, have weak remote intervention and follow-up systems, insufficient cross-institutional expert collaboration platforms, and lack of structured management of clinical big data. Data security and regulatory gaps are obvious, which limits the large-scale application of AI in the medical field.
We will construct an acoustic stimulation neuromodulation service management system that combines AI and big data analysis. It adopts an AIoT architecture, edge computing technology and a cloud-based multi-expert collaborative system. Through cloud-edge-device collaborative control, we will achieve secure encryption of data transmission, establish a closed-loop process for individualized acoustic stimulation neuromodulation diagnosis and treatment plans, and support remote expert teaching and national-level safety supervision.
It enables efficient, precise, and safe closed-loop management of individualized acoustic stimulation neuromodulation, improves the efficiency of diagnosis and treatment plan formulation and optimization, supports personalized treatment and chronic disease management for a large number of patients, and enhances the efficiency of expert collaboration and data security.