基于人工智能的颅脑损伤数据管理方法和装置
By using artificial intelligence to analyze network traffic characteristics and generate highly secure encryption keys, the security deficiencies of the traumatic brain injury data management system were solved, and secure data management and transmission were achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SICHUAN ACADEMY OF MEDICAL SCI SICHUAN PROVINCIAL PEOPLES HOSPITAL
- Filing Date
- 2026-04-29
- Publication Date
- 2026-07-17
AI Technical Summary
Existing traumatic brain injury data management systems suffer from weak anti-attack capabilities and insufficient encryption key generation mechanisms, making it difficult to effectively resist cyberattacks and ensure data privacy and security.
An artificial intelligence-based approach is employed to analyze network traffic characteristic data using pre-deployed CNN or CNN-LSTM models, identify network security situations, and determine data management actions based on the analysis results. A high-security encryption key is generated using an aggregation-diffusion search algorithm to encrypt the traumatic brain injury data, and the data is transmitted using the user's public key.
It improves the network attack identification capability and data encryption security of the traumatic brain injury data management system, realizes secure data management and transmission, and prevents data leakage and attacks.
Smart Images
Figure CN122137674B_ABST