Improving detection of impacted animal bones on lateral neck radiograph using a deep learning artificial intelligence algorithm

ConclusionOur deep learning AI model demonstrated a higher sensitivity for detection of animal bone impaction on lateral neck radiographs without an increased false positive rate. The application of this model in a clinical setting may effectively reduce time to diagnosis, accelerate workflow, and decrease the use of CT.
Source: Insights into Imaging - Category: Radiology Source Type: research