BACKGROUND: Rousing Generation Z's (Gen Z) interest in historical nursing theorists presents a challenge for nurse educators. An innovative method for engaging Gen Z with historical figures in nursing involves the use of artificial intelligence. METH... read more
Expert review of respiratory medicine
Oct 29, 2025
INTRODUCTION: Spatially resolved omics has reconceptualized the bronchial wall as a mosaic of epithelial - immune microenvironments whose local molecular circuits drive asthma heterogeneity and medication responsiveness. AREAS COVERED: We searched Pu... read more
Clinical chemistry and laboratory medicine
Oct 29, 2025
OBJECTIVES: To develop and validate a machine-learning model based on routinely available biochemical and hematological parameters for detecting wrong blood in tube (WBIT) errors in hospitalized patients. METHODS: A retrospective multicenter study in... read more
AJR. American journal of roentgenology
Oct 29, 2025
Background: Examination protocoling is a resource-intensive task. Various artificial intelligence (AI) approaches have been investigated to automate this process. Objective: To evaluate performance of traditional machine-learning (ML) models, bidirec... read more
OBJECTIVE: This study aims to develop and validate an integrated multi-task framework for hepatocellular carcinoma analysis by combining deep learning-based segmentation with radiomics-based histological grading using fused multi-phase MRI. MATERIALS... read more
Drug delivery and translational research
Oct 29, 2025
The blood-brain barrier (BBB), crucial for central nervous system (CNS) homeostasis, poses challenges for drug delivery in CNS diseases due to selective permeability. Because of this difficulty, there are limited treatments developed for CNS diseases... read more
Background: Acute Kidney Injury (AKI), a leading organ failure cause in critical patients, demands early high-risk identification to enhance outcomes. Yet comparative analyses of diagnostic and prognostic machine learning (ML) models across multiple ... read more
BackgroundExtracorporeal membrane oxygenation (ECMO) is a critical life-sustaining intervention for patients with severe cardiac or respiratory failure. Predicting outcomes for ECMO patients remains challenging due to the dynamic and complex nature o... read more
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