Added value of artificial intelligence for the detection of pelvic and hip fractures
Data
940 radiographs from adult patients with pelvic or hip trauma
Design
Retrospective study
Junior radiologist analysed the radiographs without and with AI (3-month washout)
MSK imaging radiologists, junior radiologist and emergency physicians analyzed 10% of the radiographs first without AI, then with AI (100 exams)
Ground truth established by either CT scan, confirmation by radiography or regular follow-up at the hospital
Results
940 patients with pelvic X-rays, 539 patients with at least one fracture
Older population with a mean age = 83 years old
In total, 633 pelvic fractures (64.8% from hip, 35.2% from pelvic ring)
Good standalone performance of AI across all pelvic fractures (sens = 81%, spec = 78%)
AI improved the junior radiologist’s sensitivity by 8.39% (Rel Diff) without decreasing specificity
AI most significantly improved the performance of emergency physicians with an average increase in sensitivity of 29% without any loss of specificity
