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Improving detection of impacted animal bones on lateral neck radiograph using a deep learning artificial intelligence algorithm
4
Zitationen
14
Autoren
2023
Jahr
Abstract
Our 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.
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