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The Application of Artificial Intelligence in Wrist and Hand Joint Ultrasound

NCT06883669 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 500

Last updated 2025-04-04

No results posted yet for this study

Summary

1. To develop an AI system that can automatically identify standard sections and save images during wrist and hand joint ultrasound scans, while labeling key anatomical structures.
2. To recruit sonographers untrained in musculoskeletal ultrasound, train them in wrist and hand joint scans, and compare their scanning speed and image quality when using and not using the AI system.

Conditions

  • Education
  • Joint Diseases

Sponsors & Collaborators

  • West China Hospital

    lead OTHER

Principal Investigators

  • Xinyi Tang · Department of Medical Ultrasound, West China Hospital, Sichuan University

Eligibility

Min Age
18 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-01-01
Primary Completion
2025-05-01
Completion
2025-06-01

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06883669 on ClinicalTrials.gov