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

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 ...

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.

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

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.

In the validation cohort, the new model achieved an ROC-AUC of 0.83 for detecting lung cancer across all participants, with a sensitivity of 94%, a specificity of 63%, a PPV of 79%, and an NPV of 89%.

For OCTA images, the disc and macula combination outperformed disc or macula alone with an accuracy of 92.44%, AUC of 96.94%, sensitivity of 94.71% and specificity of 89.34%.

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: ...