NCT06041542

Evaluation of the Screening Effect of Artificial Intelligence Hand Activity Evaluation System for Cervical Spondylosis

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 1,380 (actual)
• Sponsor: Guangdong Provincial People's Hospital · Academic / Other
• Sex: All
• Age: 40 Years – 80 Years
• Healthy volunteers: Accepted

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.

Detailed 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.

Conditions

• 10-second G&R Test

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	10-second hand grip and release test	To grip and release hand in ten seconds

Timeline

• Start date: 2020-12-01
• Primary completion: 2022-05-31
• Completion: 2022-12-30
• First posted: 2023-09-18
• Last updated: 2023-09-18

Locations

1 site across 1 country: China