The Application of Artificial Intelligence in Wrist and Hand Joint Ultrasound
Condition(s) studied
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.
Eligibility
Primary outcome measure(s)
- Image acquisition is complete — Day 1
Trial sites (1)
| Facility | City | Region | Status |
|---|---|---|---|
| Xinyi Tang | Chengdu | Sichuan | Recruiting |
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Other trials for the same condition
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT06883669 on ClinicalTrials.gov ↗ ← All trials in China