Application of Mobile DR in the Diagnosis of Bone Trauma in High Cold Environment
- Conditions
- Artificial IntelligenceBone Injury
- Interventions
- Diagnostic Test: digital radiography (DR)
- Registration Number
- NCT05440435
- Lead Sponsor
- Rongrong Hua
- 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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 2000
- Patients with new bone injury
- Life threatening.
- Head injury and fracture.
- There are congenital malformations in the bone injury site.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Center B digital radiography (DR) Study center B that observe cohort populations (sample size=400). Center D digital radiography (DR) Study center D that observe cohort populations (sample size=400). Center A digital radiography (DR) Study center A that observe cohort populations (sample size=400). Center C digital radiography (DR) Study center C that observe cohort populations (sample size=400). Center E digital radiography (DR) Study center E that observe cohort populations (sample size=400).
- Primary Outcome Measures
Name Time Method The image quality rating scale score. Immediately after inclusion in the study. 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.
Difference of fracture detection rate (sensitivity and specificity) between artificial intelligence and expert diagnosis. Immediately after the diagnosis is completed. 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.
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (4)
Center A
🇨🇳Beijing, Beijing, China
Center C
🇨🇳Xinjiang, China
Center
🇨🇳Xizang, China
Xucheng He
🇨🇳Neimeng, China