https://www.selleckchem.com/pr....oducts/bms-986365.ht
88, 0.93) accuracy on the test set, higher than the best accuracy of 84% in radiologists. It also performed better than the skilled radiologists in sensitivity sensitivities of the models and the doctors were 0.89 (95% CI 0.85 0.93) versus 0.79 (95% CI0.73, 0.84; p = 0.19. The deep model achieved excellent accuracy and sensitivity in identifying cases with dystrophinopathies. The comparable performance of the model and skilled radiologists demonstrates the potential application of the model in diagnosing dystrophinopathies through
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