Using diagnostic testing to determine the presence or absence of a disease is essential in
clinical practice. In many cases, test results are obtained as continuous values and require a …

Deep learning approaches to anomaly detection (AD) have recently improved the state of
the art in detection performance on complex data sets, such as large collections of images or …

Sažetak Calculating the sample size in scientific studies is one of the critical issues as
regards the scientific contribution of the study. The sample size critically affects the …

Objective: Citation and download data pertaining to the 2009 AACN consensus statement
on validity assessment indicated that the topic maintained high interest in subsequent years …

Background: After heart transplantation, endomyocardial biopsy (EMBx) is used to monitor
for acute rejection (AR). Unfortunately, EMBx is invasive, and its conventional histological …

Human African trypanosomiasis (sleeping sickness) is a parasitic infection that almost
invariably progresses to death unless treated. Human African trypanosomiasis caused …

ROC curve analysis is often applied to measure the diagnostic accuracy of a biomarker. The
analysis results in two gains: diagnostic accuracy of the biomarker and the optimal cut‐point …

Receiver operating characteristic (ROC) analysis is a tool used to describe the
discrimination accuracy of a diagnostic test or prediction model. While sensitivity and …

Background Approximately 40% of pancreatic tumors smaller than 2 cm are missed at
abdominal CT. Purpose To develop and to validate a deep learning (DL)–based tool able to …

High whole-body fat percentage is independently associated with increased mortality. We
aimed to identify a simple anthropometric linear equation that is more accurate than the …