Geriatrics

A Cross-Sectional Analysis of Vascular Geometry in Adults: Associations of Age and Biological Sex with Iliofemoral Arterial and Venous Tortuosity.

Iliofemoral vascular tortuosity may reflect vascular aging, yet natural anatomic variation remains poorly characterized at scale. In this single-center retrospective study, we quantified arterial and venous iliofemoral tortuosity in a large cohort of adults with contrast-enhanced abdominopelvic computed tomography (CT) scans. Using an nnU-Net-based deep learning pipeline, iliofemoral arteries and ...

Effect of genetic factors on [18F]FDG PET metabolic phenotypes in dementia with Lewy bodies.

BACKGROUND: Neuroimaging with [18F]FDG PET can support the diagnosis of Dementia with Lewy Bodies (DLB), but it remains unclear how genetic factors influence metabolic phenotypes. OBJECTIVES: To determine whether GBA1 and APOE ε4 status are associated with diverging [18F]FDG PET metabolic patterns in DLB. METHODS: We analyzed [18F]FDG PET scans from 43 patients with DLB stratified by GBA1 and APOE...

Human-AI Interaction With AI-Assisted Tumor Overlays in Pediatric Whole-Body Magnetic Resonance Imaging: Exploratory Reader Study.

BACKGROUND: AI tools have the potential to enhance personalized clinical care, particularly in radiology. However, their integration into clinical wor...

Quality assessment of artificial intelligence responses in erectile dysfunction: a comparative study based on EAU recommendations.

Artificial intelligence (AI)-based language models are increasingly explored as tools for interpreting and applying clinical guideline recommendations...

Performance Comparison Between Domestic and International Large Language Models in Patient Education for Chinese Patients with Lumbar Disc Herniation: A Cross-Sectional Study.

OBJECTIVE: This study aims to systematically evaluate and compare the performance of different large language models (LLMs) in providing medical advic...

Large language model use in dental education: a cross-sectional multi-country study.

BACKGROUND: Large language models (LLMs) are increasingly used in higher education, but multi-country evidence on dental students' use, verification, ...

Improved Readability and Translational Instability in LLM-Generated Radiology Reports.

BACKGROUND: Large language models (LLMs) show promise for converting complex radiology reports into patient-centric language, but inherent output inst...

Research on predicting the state of health of lithium-ion batteries via back propagation network based on multi-feature combination of electrochemical impedance spectroscopy.

Lithium-ion batteries are widely used in electric vehicles and portable electronic devices. Accurate estimation of the State of Health (SOH) is essent...

Data-driven trajectories of atrophy explain clinical heterogeneity across Lewy body diseases.

BACKGROUND: Lewy body diseases (LBD) collectively share α-synuclein Lewy pathology, yet present wide clinical heterogeneity, with overlapping motor an...

Diethylene glycol dibenzoate an emerging plasticizer disrupts bone formation via MMP3 targeting: Insights from bioinformatics and in vitro validation.

DEGDB, also known as diethylene glycol dibenzoate, is a new eco-conscious plasticizer on the block. However, the environmental and health implications...

The Clinical Course of Chronic Venous Disease.

OBJECTIVE: The clinical manifestations of chronic venous disease (CVD) range from varicose veins (VV) to, ultimately, venous ulceration, representing ...

Large Language Models for Classifying Usual Interstitial Pneumonia from Radiology Reports: Native Reasoning Versus Structured Prompting.

Extracting disease labels from radiology reports is essential for developing deep learning-based diagnostic models and enabling large-scale retrospect...

miRNA-mRNA Interaction Network Analysis in Alzheimer's Disease for Biomarker Discovery.

Alzheimer's disease (AD) is a complex neurodegenerative disorder characterized by widespread dysregulation of gene expression and regulatory pathways....

Two-stage deep learning framework for the restoration of incomplete-ring PET images.

Positron Emission Tomography (PET) is an important molecular imaging tool widely used in medicine. Traditional PET systems rely on complete detector r...

Machine learning-based prediction of unplanned readmission and construction of an online calculator for elderly patients with mild ischemic stroke.

OBJECTIVE: To screen for independent risk factors for unplanned readmission in elderly patients with mild ischemic stroke, and to construct and valida...

A Generalized Approach to Solving Deep Learning-Based Quantitative Susceptibility Mapping and Quantitative Blood Oxygen Level Dependent Magnitude (QSM + qBOLD or QQ) for Oxygen Extraction Fraction (OEF) Mapping Across Diverse Acquisition Schemes.

PURPOSE: QQ, a recently proposed oxygen extraction fraction (OEF) mapping technique combining quantitative susceptibility mapping (QSM) and quantitati...

Quality of AI-Generated Patient Education for Pre- and Post-Operative Tracheostomy Care.

OBJECTIVE: To evaluate the accuracy, completeness, clarity, source transparency, and readability of leading AI chatbot responses to patient questions ...

Multimodal MRI prediction of cognitive functioning across the lifespan: separating between-person differences from within-person changes.

Brain MRI shows promise for predicting cognitive functioning, but its utility depends on its capacity to capture stable between-person differences (e....

Survey Authentication Challenges During a Geriatrics Knowledge Assessment Pilot.

BACKGROUND: In this methodological Brief Report, we describe a multi-institutional survey authentication challenge encountered during pilot deployment...

Universal Representation for Real-World Misaligned Infrared-Visible Image Fusion.

Infrared and visible image fusion is pivotal for robust visual perception across all weather conditions and scenes. Although deep learning-based metho...