Empowering brain cancer diagnosis: harnessing artificial intelligence for advanced imaging insights.

Artificial intelligence (AI) is increasingly being used in the medical field, specifically for brain cancer imaging. In this review, we explore how AI-powered medical imaging can impact the diagnosis, prognosis, and treatment of brain cancer. We discuss various AI techniques, including deep learning and causality learning, and their relevance.

Morphometric analysis of the inferior vena cava and its clinical correlations using abdomino-pelvic computed tomography: Series from a Jordanian population.

Introduction And Importance: This study aimed to determine the impact of DM, HTN and age on IVC dimensions as measured by CT scan relevant to guide interventions in a Jordanian population.

Presentation Of Cases: Two hundred patients were selected from those referred to the Radiology Department, Jordan University Hospital, Amman, Jordan for clinical evaluation. Patients were divided into three age subgroups.

Unpaired MR-CT brain dataset for unsupervised image translation.

The data presented in this article deals with the problem of brain tumor image translation across different modalities. The provided dataset represents unpaired brain magnetic resonance (MR) and computed tomography (CT) image data volumes of 20 patients. This includes 179 two-dimensional (2D) axial MR and CT images.

Paired-unpaired Unsupervised Attention Guided GAN with transfer learning for bidirectional brain MR-CT synthesis.

Medical image acquisition plays a significant role in the diagnosis and management of diseases. Magnetic Resonance (MR) and Computed Tomography (CT) are considered two of the most popular modalities for medical image acquisition. Some considerations, such as cost and radiation dose, may limit the acquisition of certain image modalities.

Objective and subjective improvement in children with idiopathic detrusor overactivity after intravesical botulinum toxin injection: A preliminary report.

Objective: The purpose of this study is to evaluate the effect of Intravesical Botulinum toxin injection on the symptoms and urodynamic parameters in pediatric patients with idiopathic overactive bladder (iOAB) refractory to medical treatment.

Materials And Methods: The study was designed as an open-label uncontrolled therapeutic clinical trial. The eligible patients who underwent Intravesical botulinum toxin injection were evaluated before treatment.