Cough2COVID-19 detection using an enhanced multi layer ensemble deep learning framework and CoughFeatureRanker.

In response to the pressing requirement for precise and easily accessible COVID-19 detection methods, we present the Cough2COVID-19 framework, which is cost-effective, non-intrusive, and widely accessible. The conventional diagnostic methods, notably the PCR test, are encumbered by limitations such as cost and invasiveness. Consequently, the exploration of alternative solutions has gained momentum.

A hybrid ResNet-ViT approach to bridge the global and local features for myocardial infarction detection.

Myocardial infarction (MI) remains a significant contributor to global mortality and morbidity, necessitating accurate and timely diagnosis. Current diagnostic methods encounter challenges in capturing intricate patterns, urging the need for advanced automated approaches to enhance MI detection. In this study, we strive to advance MI detection by proposing a hybrid approach that combines the strengths of ResNet and Vision Transformer (ViT) models, leveraging global and local features for improved accuracy.

The Budd Chiari syndrome: a 22 year male treated successfully with mesocaval shunt.

Budd Chiari syndrome (BCS) is a heterogeneous group of disorders characterized by hepatic venous outflow obstruction at any level from the small hepatic veins to the atrio cava junction. BCS could have serious consequences if not treated promptly. Comprehensive angiographic studies, computerised tomography, liver ultrasonography, histology and pathologic analyses are essential for establishing the disease severity, stratifying risk factors, choosing the appropriate therapy and objectively assessing the response.

Assessment of viable myocardium by nitrate augmented 99mTc MIBI myocardial perfusion imaging.

Objective: To determine the efficacy of 99mTcMIBI with nitrate administration for the detection of viable myocardium in patients with MI.

Methods: Thirty-five patients (31 men, 4 women; mean age 51.91 +/- 8.