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Clinical Trial Summary

The purpose of this study: 1. Build an artificial intelligence screening tool for cervical spondylosis based on hand function analysis; 2. Verify the accuracy of cervical spondylosis screening tools.


Clinical Trial Description

Cervical spondylotic myelopathy (CSM) has a high incidence in the middle-aged and elderly people. According to clinical research, the surgeon can makes a preliminary assessment of the severity of CSM based on a 10-second grip and release (G&R) test. The statistics of G&R test mainly rely on the surgeon's manual counting. When a patient's hand motion speed is too fast, the surgeon's manual counting is prone to error, leading to potential misdiagnosis. We construct and verify the intelligent video analysis system for Grip-&-release. The system has a high accuracy and inference speed that ensure the proposed model can be used as a screening examination tool for CSM and a medical assistance tool to help decision making during CSM treatment planning. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT06041542
Study type Observational
Source Guangdong Provincial People's Hospital
Contact
Status Completed
Phase
Start date December 1, 2020
Completion date December 30, 2022