Radiology

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

15,983 articles
Stay Ahead - Weekly Radiology research updates
Subscribe
Browse Specialties
Showing 22-42 of 15,983 articles
Enhancing B-mode-based breast cancer diagnosis via cross-attention fusion of H-scan and Nakagami imaging with multi-CAM-QUS-driven XAI.

OBJECTIVE: B-mode ultrasound is widely employed for breast lesion diagnosis due to its affordability...

Machine learning diagnostic model for amyotrophic lateral sclerosis analysis using MRI-derived features.

PURPOSE: Amyotrophic Lateral Sclerosis is a devastating motor neuron disease characterized by its di...

GPT-4 for automated sequence-level determination of MRI protocols based on radiology request forms from clinical routine.

OBJECTIVES: This study evaluated GPT-4's accuracy in MRI sequence selection based on radiology reque...

GAN-MRI enhanced multi-organ MRI segmentation: a deep learning perspective.

Clinical magnetic resonance imaging (MRI) is a high-resolution tool widely used for detailed anatomi...

MRI-based radiomics for preoperative T-staging of rectal cancer: a retrospective analysis.

PUROPOSE: Preoperative T-staging in rectal cancer is essential for treatment planning, yet conventio...

Ensemble deep learning model for early diagnosis and classification of Alzheimer's disease using MRI scans.

BackgroundAlzheimer's disease (AD) is an irreversible neurodegenerative disorder characterized by pr...

Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common cause of chronic...

LGD_Net: Capsule network with extreme learning machine for classification of lung diseases using CT scans.

Lung diseases (LGDs) are related to an extensive range of lung disorders, including pneumonia (PNEUM...

Longitudinal structural MRI-based deep learning and radiomics features for predicting Alzheimer's disease progression.

BACKGROUND: Alzheimer's disease (AD) is the principal cause of dementia and requires the early diagn...

Patient Preferences for Artificial Intelligence in Medical Imaging: A Single-Center Cross-Sectional Survey.

Artificial Intelligence (AI) is rapidly being implemented into clinical practice to improve diagnost...

Novel radiotherapy target definition using AI-driven predictions of glioblastoma recurrence from metabolic and diffusion MRI.

The current standard-of-care (SOC) practice for defining the clinical target volume (CTV) for radiat...

Phenotype augmentation using generative AI for isocitrate dehydrogenase mutation prediction in glioma.

This study investigated the effects of feature augmentation, which uses generated images with specif...

Memory-enhanced and multi-domain learning-based deep unrolling network for medical image reconstruction.

Reconstructing high-quality images from corrupted measurements remains a fundamental challenge in me...

Artificial Intelligence for the Detection of Fetal Ultrasound Findings Concerning for Major Congenital Heart Defects.

OBJECTIVE: To evaluate the performance of an artificial intelligence (AI)-based software to identify...

Response Assessment in Hepatocellular Carcinoma: A Primer for Radiologists.

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths worldwide, necess...

Addressing fractures that are hard to diagnose on imaging: Radiomics or deep learning?

Fractures and their complications are recognized as major public health problems. Especially for occ...

Distribution of interscan measurement error in AI-based 3D MRI analysis of knee cartilage thickness in osteoarthritis.

PURPOSE: A novel AI-based 3D analysis system was developed to automatically extract bone and cartila...

Foundation models for radiology-the position of the AI for Health Imaging (AI4HI) network.

Foundation models are large models trained on big data which can be used for downstream tasks. In ra...

Beyond the type 1 pattern: comprehensive risk stratification in Brugada syndrome.

Brugada Syndrome (BrS) is an inherited cardiac ion channelopathy associated with an elevated risk of...

Browse Specialties