Severe Asthma in Hospital Units in Spain (PAGE) study arises from the perspective of
widespread implementation of electronic medical records and the limited data available on …

This study aims to implement three-dimensional convolutional neural networks (3D-CNN) for
clinical target volume (CTV) segmentation for whole breast irradiation and investigate the …

The recent success of deep neural networks has generated remarkable growth in Artificial
Intelligence (AI) research and has received much interest over the past few years. One of the …

Crohn's disease (CD) poses significant morbidity, underscoring the need for effective, non-
invasive inflammatory assessment using magnetic resonance enterography (MRE). This …

Crohn's disease (CD) is a chronic inflammatory disorder that may involve the gastrointestinal
tract from the mouth to the anus. Habitual disease monitoring is highly important during …

Archive (CDSA), both of which facilitate image data analyses. Taking advantage of these
databases and archives, many studies have been published with MRI and/or CT imaging …

Ultrasound systems have been widely used for consultation; however, they are susceptible
to cyberattacks. Such ultrasound systems use random bits to protect patient information …

Personalized therapy is the process of providing personalizing medical care to particular
patients based on various features including genetics, inheritance, and lifestyle. The core …

Background and Aim Endoscopic differentiation between malignant and benign gastric
ulcers (GU) affects further evaluation and prognosis. The aim of our study was to evaluate a …

Aim: Diagnostic imaging is an integral part of identifying spondyloarthropathies (SpA), yet
the interpretation of these images can be challenging. This review evaluated the use of deep …