Using AI to improve wrist and hand joint ultrasound imaging
Establishment of an Artificial Intelligence Recognition System for Wrist and Hand Joint Ultrasound Images/Videos and Its Assistance to Untrained Sonographers
This study is testing whether an AI system can help sonographers who are new to hand and wrist ultrasound scans do a better job by quickly identifying important structures during the imaging process.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 500 (estimated) |
| Ages | 18 Years to 100 Years |
| Sex | All |
| Sponsor | West China Hospital Academic / other |
| Locations | 1 site (Chengdu, Sichuan) |
| Trial ID | NCT06883669 on ClinicalTrials.gov |
What this trial studies
This study aims to develop an artificial intelligence system that can automatically identify and label key anatomical structures during wrist and hand joint ultrasound scans. It will recruit sonographers who are untrained in musculoskeletal ultrasound, train them in the scanning process, and compare their performance with and without the AI system. The goal is to enhance the speed and quality of ultrasound imaging, addressing challenges in operator dependence and subjective assessment in musculoskeletal ultrasound. By leveraging AI, the study seeks to standardize and improve the diagnostic process for joint diseases.
Who should consider this trial
Good fit: Ideal candidates for this study include healthy volunteers with no history of joint-related diseases and sonographers with at least two years of ultrasound experience.
Not a fit: Patients with amputations, limb disabilities, or those who have previously trained in musculoskeletal ultrasound may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could significantly enhance the accuracy and efficiency of ultrasound diagnostics for patients with joint diseases.
How similar studies have performed: While AI has been applied in various ultrasound specialties, its use in musculoskeletal ultrasound is relatively novel and has not been extensively tested.
Eligibility criteria
Show full inclusion / exclusion criteria
(1) Research Subjects-for AI system establishment Inclusion Criteria: 1. Healthy volunteers with good compliance 2. No history of disease on peripheral nerve, muscle, or tendons; 3. No early - stage RA or history of RA. Exclusion Criteria: 1\. Amputees or those with limb disabilities. Individuals with poor compliance. (2) Research Subjects-for AI system validation Inclusion Criteria: 1\. Sonographers with at least 2 years of ultrasound scanning experience Exclusion Criteria: 1\. Those who have performed musculoskeletal ultrasound scanning or received related training
Where this trial is running
Chengdu, Sichuan
- Xinyi Tang — Chengdu, Sichuan, China (Recruiting)
Study contacts
- Principal investigator: Xinyi Tang — Department of Medical Ultrasound, West China Hospital, Sichuan University
- Study coordinator: Xinyi Tang
- Email: tangxinyi1996@outlook.com
- Phone: +8615680819215
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.