Anemia

Advancing Anemia Detection With Deep Neural Networks: A Comparative Analysis of Training Strategies Using Conjunctival Images.

DoubleBlock-ViT: A MaxViT-based enhancement and dual-path skip connections for brain tumor segmentation in MRI scans.

BACKGROUND: Manual interpretation of brain tumor regions in MRI scans demands substantial medical expertise, is time-consuming, and is prone to human error, especially when radiologists must review large scan volumes, leading to fatigue and reduced diagnostic accuracy. OBJECTIVE: This study aims to propose a lightweight segmentation framework with strong global contextual awareness, enabling accur...

SET-DGCN: An end-to-end electroencephalography-based fatigue detection method for young drivers.

Driver fatigue poses a critical threat to global road safety, particularly among young drivers. Nevertheless, policy-level interventions remain fragme...

MSDA-Net: Multiscale Spatiotemporal Dual-Attention Network for EEG-Based Driver Fatigue Detection.

Driver fatigue poses a severe risk to road safety, contributing to approximately 20% of fatal accidents worldwide. While EEG signals are the gold stan...

Estimating the Causal Effect of Realistic Treatment Strategies Using Longitudinal Observational Data.

BackgroundReal-world data can inform health care decisions by allowing the evaluation of nuanced treatment strategies. Longitudinal observational data...

Apparent Diffusion Coefficient Magnetic Resonance Imaging as a Predictive Biomarker for Hypoxia, Treatment De-escalation, and Recurrence in Human Papillomavirus-Associated Oropharyngeal Cancer.

PURPOSE: To evaluate whether quantitative diffusion-weighted magnetic resonance imaging derived apparent diffusion coefficient (ADC) parametric values...

An adaptive decoupling learning system informed by the brain functional structure for EEG decoding.

Neuroscientific investigations have revealed the presence of regional pathway connections among functional brain areas, as well as the asymmetrical st...

Machine Learning-Based Prediction of β-Thalassemia Trait Using Red Blood Cell Indices.

OBJECTIVES: Anemia is a significant global health concern, with hypochromic microcytic anemia being the most common type. Among its causes, β-thalasse...

Identification of GPX3 as a key biomarker of placental ferroptosis in gestational diabetes mellitus via bioinformatics and clinical analysis.

Gestational diabetes mellitus (GDM) is characterized by glucose intolerance during pregnancy, and emerging evidence implicates dysregulated iron metab...

Precision Nutritional Genomics, Gut Microbiota and Artificial Intelligence in Chronic Kidney Disease.

Chronic kidney disease (CKD) is a prevalent global health issue, and nutritional management of CKD is an integral component through all stages of the ...

Real-time fatigue monitoring system for motorcycle riders using sensors and a random forest algorithm.

Fatigue is a major determinant of motorcycle accidents, posing a critical threat to road safety by impairing riders' psychophysiological performance a...

Development of an interpretable machine learning model to predict short-term bleeding risk in patients receiving dual antithrombotic therapy following cardiac surgery.

INTRODUCTION: Bleeding is a serious complication in cardiac surgery, especially among patients receiving combined anticoagulant and antiplatelet thera...

Longitudinal fetal heart rate analysis identifies neonates with metabolic acidemia requiring therapeutic hypothermia.

BACKGROUND: Despite widespread use of intrapartum fetal monitoring, rates of fetal brain injury remain unchanged. Neonatal encephalopathy due to hypox...

Technical system of electroencephalography-based brain-computer interface: Advances, applications, and challenges.

Electroencephalography-based brain-computer interfaces have revolutionized the integration of neural signals with technological systems, offering tran...

Clinical Decision Support Systems in Generalist Practice: Utilizing Clinical Decision Support Systems Tools to Improve Clinical Decisions and Patient Outcomes.

Clinical decision support systems (CDSS) can impact clinical care through improved care processes and improved patient outcomes. For the generalist, C...

Deep learning-based quantitative assessment of renal chronicity indices in lupus nephritis.

Renal chronicity indices (CI) have been identified as strong predictors of long-term outcomes in lupus nephritis (LN) patients. However, assessment by...

MiR-138 reprograms dental pulp stem cells into GABAergic neurons via the GATAD2B/MTA3/WNTs axis for stroke treatment.

Prolonged periods of ischemia and hypoxia pose significant challenges to exogenous stem cell transplantation, including minimal cell survival, varied ...

Advances in non-invasive diagnostic tools for endometriosis: A narrative review of the past ten years.

Endometriosis is a chronic condition defined by endometrium-like tissue outside the uterus, with symptoms including pain, infertility, and fatigue. De...

A Participatory Artificial Intelligence Driven Shift-Scheduling Application for Improving Sleep Among Shift-Working Caregivers: A 4-Month Non-Randomised Controlled Study With Cross-Over Design.

Here, we examine the effectiveness of a participatory artificial intelligence (AI)-driven shift-scheduling mobile application (which reflects the loca...

A Scoping Review on AI-Supported Interventions for Non-Pharmacological Management of Chronic Rheumatic Diseases.

This review summarizes AI-supported non-pharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose,...