Radiology

Latest AI and machine learning research in radiology for healthcare professionals.

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Enhancing Lung Cancer Diagnosis: An Optimization-Driven Deep Learning Approach with CT Imaging.

Lung cancer (LC) remains a leading cause of mortality worldwide, affecting individuals across all ge...

Ultrafast J-resolved magnetic resonance spectroscopic imaging for high-resolution metabolic brain imaging.

Magnetic resonance spectroscopic imaging has potential for non-invasive metabolic imaging of the hum...

Effective workflow from multimodal MRI data to model-based prediction.

Predicting human behavior from neuroimaging data remains a complex challenge in neuroscience. To add...

The value of multimodal neuroimaging in the diagnosis and treatment of post-traumatic stress disorder: a narrative review.

Post-traumatic stress disorder (PTSD) is a delayed-onset or prolonged persistent psychiatric disorde...

Automatic Multi-Task Segmentation and Vulnerability Assessment of Carotid Plaque on Contrast-Enhanced Ultrasound Images and Videos via Deep Learning.

Intraplaque neovascularization (IPN) within carotid plaque is a crucial indicator of plaque vulnerab...

The diagnostic accuracy of MRI radiomics in axillary lymph node metastasis prediction: a systematic review and meta-analysis.

BACKGROUND: Breast cancer is the most prevalent malignancy in women and a leading cause of mortality...

Radiological data processing system: lifecycle management and annotation.

OBJECTIVE: To develop a platform for automated processing of radiological datasets that operates ind...

Emergency radiology: roadmap for radiology departments.

Emergency radiology has evolved into a significant subspecialty over the past 2 decades, facing uniq...

MVKD-Trans: A Multi-View Knowledge Distillation Vision Transformer Architecture for Breast Cancer Classification Based on Ultrasound Images.

Breast cancer is the leading cancer threatening women's health. In recent years, deep neural network...

Efficient slice anomaly detection network for 3D brain MRI Volume.

Current anomaly detection methods excel with benchmark industrial data but struggle with natural ima...

Causal inference in the diagnosis and prognosis of ovarian cancer: current state and future directions.

Ovarian cancer represents one of the most lethal gynecologic malignancies, characterized by low earl...

Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic Analysis.

BACKGROUND: Digital mental health tools promise to enhance the reach and quality of care. Current to...

Deep learning detects retropharyngeal edema on MRI in patients with acute neck infections.

BACKGROUND: In acute neck infections, magnetic resonance imaging (MRI) shows retropharyngeal edema (...

Optimized YOLOv8 for enhanced breast tumor segmentation in ultrasound imaging.

Breast cancer significantly affects people's health globally, making early and accurate diagnosis vi...

Artificial intelligence in imaging diagnosis of liver tumors: current status and future prospects.

Liver cancer remains a significant global health concern, ranking as the sixth most common malignanc...

A Generative AI-Assisted Piezo-MEMS Ultrasound Device for Plant Dehydration Monitoring.

Plant health, closely tied to hydration, has a direct impact on agricultural productivity, making th...

Non-Invasive Diagnosis of Chronic Myocardial Infarction via Composite In-Silico-Human Data Learning.

Myocardial infarction (MI) continues to be a leading cause of death worldwide. The precise quantific...

Multi-domain information fusion diffusion model (MDIF-DM) for limited-angle computed tomography.

BackgroundLimited-angle Computed Tomography imaging suffers from severe artifacts in the reconstruct...

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