Histopathology is the gold standard in cancer diagnosis. However, attenuated total reflectance (ATR)-Fourier transform ...

An artificial intelligence tool outperforms human readers in diagnostic mammography but shows lower accuracy at the lesion ...

The AUC, sensitivity, specificity, and F1 score values produced by the SVM, random forest, decision tree, logistic regression, gradient boosting, and ensemble models are listed in Table 2. The ...

According to the study, the PEACE Score accurately stratifies pulmonary embolism risk, with strong links to echo ...

For TFCC injuries, 7 T MRI had a sensitivity of 0.85, specificity of 0.68, and AUC of 0.82, whereas 3 T MRI had a sensitivity of 0.75, specificity of 0.73, and AUC of 0.77.

A diagnostic model based on delayed post-gadolinium enhancement magnetic resonance imaging (DEMRI) improves the accuracy of ...

Notably, the model demonstrated a Sensitivity (TPR) of 95% and a Specificity (TNR) of 96% on a retrospective cohort of 540,884 patients with 14,676 positive sepsis cases across 16 hospital sites.

Using current 2017 DIS criteria, sensitivity was 88.2%, specificity was 82.2%, accuracy was 86.5%, and the AUC was 0.85. For each modality, use of the modified DIS criteria resulted in the following: ...