OBJECTIVES: To evaluate the performance of high-resolution deep learning-based hip MR imaging (CSAI) compared to standard-resolution compressed sense (CS) sequences using hip arthroscopy as standard of reference.
Nutrition, metabolism, and cardiovascular diseases : NMCD
Apr 16, 2025
BACKGROUND AND AIM: Gut microbiota may regulate metabolism but is incompletely characterized in pregnancy. Our objective was to investigate the relations using omics techniques.
BACKGROUND: Recent advancements in artificial intelligence technologies particularly ChatGPT have supported learning and fostered critical thinking in nursing education. However, integrating these tools into academic settings requires both ethical an...
PurposeTo quantify the decentration of the crystalline lens in a large Austrian adult cataractous and non-cataractous cohort and to predict decentration using biometric parameters.SettingKepler University Clinic, Linz, Austria.DesignRetrospective sin...
BACKGROUND: Rare diseases affect fewer than 1 in 2000 individuals, but approximately 150 rare kidney diseases account for about 10% of the chronic kidney disease (CKD) population, impacting millions across Europe and globally. The scarcity of medical...
This review analyzes enabling technology in Adult Spinal Deformity (ASD), with a focus on optimizing safety and teaching. The prevalence of ASD is rising, and recent technological advancements can empower surgeons to improve outcomes for ASD patients...
Neural networks : the official journal of the International Neural Network Society
Apr 16, 2025
In contemporary Multi-Agent Reinforcement Learning (MARL), effectively enhancing the expressive capacity of value functions has been a persistent research focus. Many studies have employed value decomposition methods; however, due to the neglect of i...
The journal of prevention of Alzheimer's disease
Apr 16, 2025
BACKGROUND: Over 6 million patients in the United States are affected by Alzheimer's Disease and Related Dementias (ADRD). Early detection of ADRD can significantly improve patient outcomes through timely treatment.
RATIONALE AND OBJECTIVES: The objective is to assess the effectiveness of a multiparametric MRI radiomics strategy combined with a 3D Vision Transformer (ViT) deep learning (DL) model in predicting tumor budding (TB) grading in individuals diagnosed ...
Artificial Intelligence (AI)-based applications have significant potential to differentiate between pressure injuries (PI) and incontinence-associated dermatitis (IAD), common challenges in nursing practice. Within the KIADEKU overall project, we are...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.