Publications by authors named "Fayssal Trad"
Diagn Interv Imaging
January 2025
Article Synopsis
- The study aimed to evaluate how well an AI system can detect bone fractures compared to radiologists, using CT scans as the ultimate benchmark.
- It involved 94 adult patients and found that the AI had a sensitivity of 82% and specificity of 69%, meaning it missed some fractures and misidentified some normal cases.
- The radiologists performed better overall, with a sensitivity of 92% and specificity of 88%, indicating they were more accurate in diagnosing the fractures.
