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.
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 Type
OBSERVATIONAL
Enrollment
1,380
To grip and release hand in ten seconds
Guangdong Provincial People's Hospital
Guangzhou, Guangdong, China
mJOA score
Correlate 10-second hand grip and release test with mJOA score
Time frame: 2022-10-01-2022-12-30
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