The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

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

New biomarkers enhance multiple sclerosis (MS) diagnosis, enabling earlier detection and improved patient care, transforming ...

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

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

Acute retinal necrosis (ARN) is a rare but severe ocular condition that often results in significant visual impairment or blindness. We aimed to determine whether ARN exhibits a distinct ...

An artificial intelligence (AI) tool in mammography showed a high sensitivity and specificity, outperforming human readers in overall performance, a study found. However, the performance of the AI ...

Six supervised-learning classifiers were used to develop a CT-based radiomics prediction model, which was estimated using the receiver operating characteristic (ROC) curve, area under the curve (AUC), ...

Cardiac amyloidosis (CA) is a progressive disease characterized by extracellular deposition of misfolded proteins, leading to myocardial dysfunction and poor prognosis. Early and accurate diagnosis ...

Aim This study evaluates if characteristics (eg, location, size, volume) of clusters of defects on an initial visual field ...

The performance of the model was evaluated according to the mean area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and accuracy. The mean area under the curve ...