Clinical trial Recruiting at 1 site Observational Ages 18 to 100

Using AI to improve wrist and hand joint ultrasound imaging

Official title: Establishment of an Artificial Intelligence Recognition System for Wrist and Hand Joint Ultrasound Images/Videos and Its Assistance to Untrained Sonographers

Run by West China Hospital · NCT06883669 · Data updated 2026-11-12

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 typeObservational
Ages18 Years to 100 Years
SexAll
Enrollment500 (estimated)
SponsorWest China Hospital
Academic / other
Locations1 site (Chengdu, Sichuan)
StatusRecruiting
StartedJanuary 1, 2021
Main results expectedMay 1, 2025
Study endsJune 1, 2025
Registry record updatedApril 4, 2025
Trial IDNCT06883669 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a 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.

Probably not a fit

Patients with amputations, limb disabilities, or those who have previously trained in musculoskeletal ultrasound may not benefit from this study.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

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.

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 gone: While AI has been applied in various ultrasound specialties, its use in musculoskeletal ultrasound is relatively novel and has not been extensively tested.

Who can join: the full rules

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 it's running

  • 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

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.