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

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

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 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%.

In the validation cohort, the eNose detected lung cancer in 72 of 121 (60%) participants, resulting in an ROC-AUC of 0.83, sensitivity of 94%, specificity of 63%, PPV of 79%, and NPV of 89%.

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

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 each Random Forest classifier fit, the mean AUC, positive predictive value (PPV), sensitivity, and specificity were calculated from the 10 different test-train splits. The number of images of ...