Brief Summary

In the high cold environment, mobile digital radiography (DR) is used to collect the imaging of bone injury patients, and the artificial intelligence diagnosis module is used to diagnose the injury. The quality of images obtained by mobile or conventional DR and the consistency between artificial intelligence and pure artificial diagnosis will be analyzed respectively. Finally, the application value of mobile DR loaded with artificial intelligence diagnosis function in high cold environment is determined.

Trial Health

At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date

Enrollment

2,000

participants targeted

Target at P75+ for all trials

Timeline

Completed

Started Jan 2022

Shorter than P25 for all trials

Geographic Reach

1 country

4 active sites

Status

unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

12 months study duration

Study Start

First participant enrolled

January 1, 2022

Completed

6 months until next milestone

First Submitted

Initial submission to the registry

June 24, 2022

Completed

6 days until next milestone

First Posted

Study publicly available on registry

June 30, 2022

Completed

3 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 1, 2022

Completed

3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2022

Completed

Last Updated

September 19, 2022

Status Verified

September 1, 2022

Enrollment Period

9 months

First QC Date

June 24, 2022

Last Update Submit

September 15, 2022

Conditions

Bone Injury Artificial Intelligence

Keywords

Artificial intelligenceDigital radiography

Outcome Measures

Primary Outcomes (2)

The image quality rating scale score.
There are 24 entries in the image quality rating scale with a total score of 100 points. According to the score, there are 4 grades (A. ≥90; B. 80-89; C. 70-79; D. \<70), among which D is unqualified.
Immediately after inclusion in the study.
Difference of fracture detection rate (sensitivity and specificity) between artificial intelligence and expert diagnosis.
Sensitivity is the percentage of individuals with bone injury who diagnosed by artificial intelligence or experts. Specificity is the percentage of those without bone injury who have normal diagnosis results.
Immediately after the diagnosis is completed.