Latest AI and machine learning research in radiology for healthcare professionals.
OBJECTIVE: There is a lack of breast radiologists in Norway and in Europe. Artificial intelligence (...
Endoscopic ultrasound (EUS) has evolved from a diagnostic imaging tool into a versatile platform tha...
BACKGROUND: Nurses are at the forefront of providing palliative care, playing a critical role in ens...
Even in the ideal case of well-coordinated cooperation between anesthesiological and surgical as wel...
This study presents Latent Diffusion Autoencoder (LDAE), a novel encoder-decoder diffusion-based fra...
OBJECTIVES: Amyloid-lowering immunotherapies can cause amyloid-related imaging abnormalities (ARIA),...
OBJECTIVES: To assess the 1-year natural history of liver imaging reporting and data system (LI-RADS...
BACKGROUND: Lymphedema is a chronic, progressive condition characterized by impaired lymphatic drain...
Computed tomography (CT) is an important imaging modality that provides cross-sectional images, aidi...
Assessing small-molecule blood-brain barrier permeability is laborious, yet critical in drug develop...
OBJECTIVES: To assess healthcare costs of patients screened for cervical spine (C-spine) fractures u...
BACKGROUND: Multi-center imaging studies create large-scale data that are useful for identifying pat...
INTRODUCTION: Focal therapy (FT) has emerged as an intermediate therapeutic strategy between active ...
Automated vessel segmentation in brain CT angiography (CTA) remains challenging despite the potentia...
OBJECTIVE: Accurate classification of salivary gland tumors is critical to guiding appropriate manag...
BACKGROUND: Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a prevalent sleep disorder linked t...
OBJECTIVE: The Focused Assessment with Sonography for Trauma (FAST) enables rapid detection of free ...
BACKGROUND AND OBJECTIVE: This study introduces the liver cancer segmentator (LCS), a deep learning ...
BACKGROUND: Accurate preoperative evaluation of rectal cancer is essential for staging and treatment...
Single-cell analyses have transitioned from descriptive atlasing towards inferring causal effects an...
INTRODUCTION: Moyamoya disease (MMD) and syndrome (MMS) are rare cerebrovascular arteriopathies mark...