Artificial intelligence applied in identifying left ventricular walls in myocardial perfusion scintigraphy images: Pilot study.

This paper proposes the use of artificial intelligence techniques, specifically the nnU-Net convolutional neural network, to improve the identification of left ventricular walls in images of myocardial perfusion scintigraphy, with the objective of improving the diagnosis and treatment of coronary artery disease. The methodology included data collection in a clinical environment, followed by data preparation and analysis using the 3D Slicer Platform for manual segmentation, and subsequently, the application of artificial intelligence models for automated segmentation, focusing on the efficiency of identifying the walls of the left ventricular. A total of 83 clinical routine exams were collected, each exam containing 50 slices, which is 4,150 images.

Chronic Kidney Disease-Associated Pruritus Burden: A Patient Survey Study.

Rationale & Objective: Chronic kidney disease-associated pruritus (CKD-aP) is a common, underrecognized condition in patients with chronic kidney disease (CKD), especially those receiving hemodialysis (HD). The present study analyzed the clinical treatment journey and overall burden of pruritus among patients with CKD-aP.

Study Design: Cross-sectional, patient-reported online survey.

Development of a broad-spectrum epitope-based vaccine against Streptococcus pneumoniae.

Streptococcus pneumoniae (SPN) is a significant pathogen causing pneumonia and meningitis, particularly in vulnerable populations like children and the elderly. Available pneumonia vaccines have limitations since they only cover particular serotypes and have high production costs. The emergence of antibiotic-resistant SPN strains further underscores the need for a new, cost-effective, broad-spectrum vaccine.

Trends, outcomes and knowledge gaps in mobile apps for reproductive endocrinology and infertility: a scoping review protocol.

Introduction: Infertility is a complex condition that affects millions worldwide, with significant physical, emotional and social implications. Mobile apps have emerged as potential tools to assist in the management of infertility by offering features such as menstrual cycle tracking, ovulation prediction, fertility education, lifestyle modification guidance and emotional support, thereby promoting reproductive health. Despite promising advancements such as the development of apps with sophisticated algorithms for ovulation prediction and comprehensive platforms offering integrated fertility education and emotional support, there remain gaps in the literature regarding the comprehensive evaluation of mobile apps for reproductive endocrinology and infertility.

A systematic review on how to combine exposure and response prevention with add-ons for the treatment of obsessive-compulsive disorder.

Exposure and response prevention (ERP) is an effective treatment for obsessive-compulsive disorder. However, ERP's distressful nature may be too demanding for some patients, resulting in low engagement with treatment or even dropout. The current review aimed to summarize and categorize the components of ERP plus add-on protocols.