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The CNN showed 76% sensitivity, 92% specificity and 0,840 AUC, which was considered "acceptable" by the authors. The algorithm especially had difficulties in detecting occult scaphoid fractures. The orthopaedic surgeon experienced in hand surgery demonstrated the best diagnostic performance, whereas the CNN’s performance was similar to the less experienced orthopaedic surgeon. The emergency department physician showed the worst diagnostic performance. Therefore, the authors highlighted the potential use of artificial intelligence in detecting scaphoid fractures, especially in the absence of an experienced orthopaedic or hand surgeon [13].
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