Artificial Intelligence, Bone Injury
Conditions
Keywords
Artificial intelligence, Digital radiography
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.
Interventions
DIAGNOSTIC_TESTdigital radiography (DR)
Patients with bone injury received routine and mobile DR sequential examination.
Sponsors
Rongrong Hua
Study design
Observational model
CASE_ONLY
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 55 Years
Healthy volunteers
No
Inclusion criteria
* Patients with new bone injury
Exclusion criteria
* Life threatening. * Head injury and fracture. * There are congenital malformations in the bone injury site.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 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. |
Countries
China
Contacts
Primary ContactRongrong Hua, Doctor
Outcome results
None listed