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 ...

A recent study published in Engineering introduces GlycoPro, a novel high-throughput sample-processing platform that aims to ...

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 ...

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

Drs. Fatemeh Ardeshir-Larijani and Mohamed Abazeed discuss a validated AI model that can predict how patients with advanced NSCLC will respond to immunotherapy.

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 sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and receiver operating characteristic (ROC) curves were calculated for each questionnaire, and the ...

They assessed diagnostic performance using receiver operating characteristic (ROC) analysis, with the area under the curve (AUC) calculated for all metrics in 2 comparisons: healthy volunteers vs AMD ...

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%.

More recently, Dutch investigators showed that the eNose system detected lung cancer in COPD patients up to 2 years before clinical diagnosis with 86% sensitivity, 89% specificity, and ROC-AUC of ...