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.
Study Type
OBSERVATIONAL
Enrollment
2,000
Patients with bone injury received routine and mobile DR sequential examination.
Center A
Beijing, Beijing Municipality, China
RECRUITINGXucheng He
Neimeng, China
RECRUITINGCenter C
Xinjiang, China
RECRUITINGThe 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.
Time frame: 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.
Time frame: Immediately after the diagnosis is completed.
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Center
Xizang, China