Non-specific lumbago assisting system based on ICF and working method of non-specific lumbago assisting system
By using an ICF-based multi-module low back pain diagnosis and treatment assistance system, combined with artificial intelligence algorithms, the accessibility of low back pain assessment systems in remote areas and the integration of diagnosis and treatment have been solved. This has enabled personalized low back pain management and health education, and improved the efficacy of low back pain rehabilitation and the accessibility of medical resources.
Patent Information
- Application Number
- CN202410313136.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-03-19
- Publication Date
- 2026-04-28
AI Technical Summary
Existing low back pain assessment systems have limited acceptability in remote clinical settings with weak medical infrastructure; the reliability and validity of single imaging or kinematic data are low; the lack of professional assessment in patient self-management systems leads to missed or misdiagnosed cases; existing diagnosis and treatment systems have not achieved integrated diagnosis and treatment; and insufficient patient awareness affects adherence.
A non-specific low back pain diagnosis and treatment assistance system based on ICF was designed, including a patient information module, a pain module, a medical history module, a scale module, a basic examination module, and a special examination module. Through comprehensive evaluation of multiple modules and combined with artificial intelligence algorithms, the diagnosis and treatment process is optimized, and personalized treatment suggestions and health management are provided.
It has improved the standardization and efficacy of rehabilitation diagnosis and treatment for low back pain, reduced the cost of medical services, enabled remote assessment and personalized treatment, enhanced the accessibility of medical resources, and improved the accuracy of diagnosis and treatment and patient compliance.