Radiology

Multimodal MRI reveals hypothalamic structural-functional alterations associated with bone mineral density loss in postmenopausal women.

Emerging evidence implicates central nervous system dysregulation in the pathogenesis of osteoporosis. However, the role of hypothalamic subregions - a key central hub for homeostasis - in human bone health remains poorly understood. This study aimed to elucidate the structural and functional alterations of hypothalamic subregions in relation to bone mineral density (BMD) loss in postmenopausal wo...

NTDscope: A multi-contrast portable microscope for disease diagnosis.

Accurate diagnostics are essential for disease control and elimination efforts. However, access to diagnostics for neglected tropical diseases (NTDs) is hindered by limited healthcare infrastructure in many NTD-endemic regions, as well as by reliance on time- and labor-intensive diagnostic methods, such as smear microscopy. New diagnostic tools that are portable, rapid, low-cost, and meet World He...

[Cardiology : what's new in 2025].

In 2025, significant progress has been made in the management of heart failure and cardiovascular diseases, driven by the emergence of new treatments ...

Postmarketing Safety of Transcranial Magnetic Stimulation: A 10-Year MAUDE Database Analysis of Adverse Events and Technological Advancements.

Background: Transcranial magnetic stimulation (TMS) is an FDA-cleared neuromodulation technique with expanding clinical applications beyond major depr...

Noninvasive Staging of Hepatic Fibrosis in Patients with Autoimmune Liver Disease Using Deep Learning.

RATIONALE AND OBJECTIVES: Accurate staging of hepatic fibrosis is essential for guiding immunosuppressive and antifibrotic therapies. However, percuta...

Enhancing low-dose PET image recovery via edge perception and Mamba-guided network architecture.

Positron emission tomography (PET) is a sensitive molecular imaging technique used extensively in cancer diagnosis, neurology, and cardiovascular dise...

Re-envisioning the North American Biodosimetry Assessment Networking Group.

The RNCP/NIAID recommends the creation of a North American Biodosimetry Assessment Networking Group (BANG) by developing a blueprint for integrating t...

Oral radiologists and orthodontists' attitude regarding the use of artificial intelligence for cephalometric analysis.

PURPOSE: To evaluate the knowledge and attitude of specialists in orthodontics and oral radiology in relation to artificial intelligence (AI) and its ...

Disrupted and reorganized connectivity of brain networks in multiple sclerosis: a systematic review and meta-analysis of resting-state functional MRI.

BACKGROUND: Abnormalities in large-scale brain functional networks are implicated in multiple sclerosis (MS) and linked to clinical impairments, but r...

Dynamic ultrasound motion metrics combined with deep learning for clinical differentiation of subacromial impingement syndrome.

PURPOSE: This prospective study evaluated the diagnostic performance of deep learning models in predicting subacromial impingement syndrome (SIS) duri...

Training the diagnostic artificial intelligence in thyroid sonography: how well is deep learning truly learning?

INTRODUCTION: The use of artificial intelligence (AI) for TI-RADS classification in neck sonography for the assessment of thyroid nodules has been pro...

Establishing an Evidence-based Modern Breast MRI Program.

Breast MRI has evolved over the past several decades into a cornerstone of breast imaging. Historically, dynamic contrast-enhanced (DCE) MRI has serve...

Surgical Robotic System for Precision Femoral Fracture Reduction.

Malalignment after femoral fracture repair remains common, with up to one-third of patients experiencing malrotations. Manual femoral fracture reducti...

Multi-modal AI for opportunistic screening, staging and progression risk stratification of steatotic liver disease.

The global rise in steatotic liver disease poses a significant public health challenge. While non-contrast computed tomography scans hold promise for ...

State and Diffusion of National Institutes of Health Funding of AI in Radiology.

Artificial intelligence research has profound implications for the future of radiology, making it essential to understand funding patterns and diffusi...

Deep learning-based detection of retinal detachment with vitreous hemorrhage in ocular ultrasound images.

Retinal detachment (RD) is a serious ocular disease that can lead to permanent vision loss. In cases with fundus-obscuring vitreous hemorrhage (VH), i...

Machine Learning on Dynamic Functional Connectivity: Promise, Pitfalls, and Interpretations.

An unprecedented amount of existing functional Magnetic Resonance Imaging (fMRI) data provides a new opportunity to understand how functional fluctuat...

Select then fusion: An effective multi-atlas brain network analysis method with sparse and uncertain mechanism.

Multi-atlas brain networks offer a more comprehensive and intricate understanding than a single atlas in identifying brain disorders. Traditional mult...

Artifact-suppressed 3D retinal microvascular segmentation via multi-scale topology regulation.

Optical coherence tomography angiography (OCTA) enables non-invasive visualization of retinal microvasculature, and accurate 3D vessel segmentation is...

Quality-label-free fetal brain MRI quality control based on image orientation recognition uncertainty.

Quality control (QC) in fetal MRI is essential for efficient, high-quality data acquisition and analysis aimed at assessing fetal brain development an...