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The use of deep learning enables high diagnostic accuracy in detecting syndesmotic instability on weight-bearing CT scanning
Model 3 outperformed Model 2 and achieved a nearly perfect performance, misclassifying only one case (F1-score = 0. 91) in the control group as unstable while being faster than Model 2.
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