Radiology

Deep Learning Algorithm Based on Contrast-Enhanced Ultrasound Potentially Optimizes Treatment Strategies for Solitary Primary Hepatocellular Carcinoma.

OBJECTIVE: We aimed to propose a prognostic framework using a dual-branch Vision Transformer (ViT) deep learning (DL) architecture for stratifying recurrence risk in solitary primary hepatocellular carcinoma (HCC) patients undergoing surgical resection (SR) or thermal ablation (TA) and explore its potential value as a tool for aiding therapy-related discussions. METHODS: This two-center study enro...

A non-invasive end-to-end intelligent assistance system for breast ultrasound.

Although artificial intelligence enhances medical image classification to effectively improve lesion diagnosis accuracy and efficiency, it still faces generalization challenges in breast ultrasound and its clinical potential remains underutilized in complex real-world scenarios. Here, we develop and test an end-to-end breast intelligent recognition device (BIRD) for women across diverse institutio...

Attention-Based Point Cloud Completion for CT-Equivalent Kidney Volumetry from Tracked Freehand Ultrasound.

Kidney volume measurement is critical for managing polycystic kidney disease and monitoring transplants, but computed tomography involves radiation an...

Clinical knowledge constrained multi-task learning framework for breast cancer diagnosis using ultrasound videos.

Ultrasound is widely used in breast cancer diagnosis due to its cost-effectiveness, non-invasiveness, and radiation-free properties. Computer-aided di...

Applications of bioimpedance measurement in clinical and allied fields: a comprehensive review.

BACKGROUND: Accurate and timely disease detection is essential in modern healthcare. Conventional imaging methods such as computed tomography (CT), ma...

Multicenter validation and randomized crossover reader evaluation of deep learning-assisted tri-sequence three-dimensional MRI segmentation for hypopharyngeal tumor.

BACKGROUND AND PURPOSE: Accurate MRI-based target delineation for hypopharyngeal squamous cell carcinoma (HPSCC) is clinically important but expertise...

High cardiorespiratory fitness is associated with younger brain age: the role of systemic inflammation.

OBJECTIVES: To examine the relationship between cardiorespiratory fitness (CRF) and brain aging, and the extent to which this is mediated by systemic ...

Application of Health Examination in Early Screening of Tumors.

Early detection of tumors constitutes a cornerstone of cancer prevention and control. Medical assessments alongside emerging screening modalities prov...

Advanced Data Analytics and Machine Learning for Geospatial Interpolation, Anomaly Detection, Background Prediction and Emergency Evacuation Routing in Real-Time Radiation Monitoring System.

For identifying natural trends, hotspots, hazardous areas, and mitigating potential health risk to the public and environment, spatial analysis of rad...

PancDS in Real-World Practice: A Prospective Multicenter Validation of a Clinical Decision-Support System Bridging Experience Gaps in Pancreatic Lesion Diagnosis.

Distinguishing pancreatic ductal adenocarcinoma (PDAC) from mass-forming pancreatitis (MFP) is challenging due to imaging mimicry and reader-dependent...

Elasticity-guided tumor resection: applying biomechanical information to neurosurgical practice.

Tumor stiffness and adhesion are decisive factors in neurosurgical strategy, yet they remain absent from standard planning and navigation. Advances in...

APTw CEST MRI in therapy-naive IDH-wildtype glioblastoma: insights into tumor heterogeneity and molecular subtypes.

PURPOSE: Advanced MRI techniques may provide non-invasive insight into the molecular heterogeneity of glioblastoma. Amide proton transfer-weighted (AP...

Multi-channel spatial attention network for MRI super-resolution.

Magnetic resonance imaging (MRI) provides important structural and functional information for clinical diagnosis. Due to the limitations in the device...

SPARNet: A Framework for Airway Invasion Tracking from Fluoroscopic Videos of Dysphagia Patients.

The videofluoroscopic swallowing study (VFSS) is the clinical gold standard for evaluating dysphagia and detecting airway invasion. However, manual in...

Hybrid fractional groupers and moray eels driven deep learning for pneumonia detection using multi-modal data in federated learning.

Pneumonia is a severe lung infection triggered by various viral pathogens. Detecting and diagnosing pneumonia using clinical images is challenging bec...

Evaluation of a deep learning model applied to chest X-rays of patients with suspected pneumonia presenting to the emergency department designed to predict admission risk: a retrospective training and prospective non-intervention validation.

OBJECTIVES: To develop, train and test a deep learning model Image-based PROgnostication applied to Chest X Rays (IPRO-X) tool that predicts the inpat...

Malignancy Prediction of Breast Lesion with Calcifications via Radiomics Analysis Based on Intratumoral and Peritumoral Regions of Ultrasound Images.

RATIONALE AND OBJECTIVES: To evaluate whether intratumoral habitats and peritumoral regions on ultrasound (US) images enhance radiomics-based diagnosi...

Dynamic breast MRI with Flexible Temporal Resolution Aided by Deep Learning.

MRI is the most effective method for screening high-risk breast cancer patients. While current exams rely on the qualitative evaluation of morphologic...

Temporally consistent longitudinal brain tumor segmentation using a temporal spatial transformer network.

Proper monitoring of tumor progression and evaluation of treatment responses highly depend on longitudinal brain tumor segmentation from MRI data. Cur...

Urinary copper is linked to regional cortical volume reductions in adolescents with major depressive disorder.

Major depressive disorder (MDD) is highly prevalent among adolescents, but its neurobiological mechanisms remain unclear. Neuroimaging studies have sh...