Latest AI and machine learning research in radiology for healthcare professionals.
RATIONALE AND OBJECTIVES: This study aimed to develop a radiomics model characterized by Ga-fibrobla...
BACKGROUND: Using artificial intelligence (AI) to augment knowledge is key to establishing precision...
BACKGROUND: The use of endovascular procedures is becoming increasingly popular across multiple clin...
BACKGROUND: Magnetic resonance imaging (MRI) is a crucial technique for both scientific research and...
RATIONALE AND OBJECTIVES: Multi-parametric MRI (mpMRI) studies of the body are routinely acquired in...
INTRODUCTION: This study presents a novel multi-view learning approach for machine learning (ML)-bas...
This letter responds to the article "Encouragement vs. liability: How prompt engineering influences ...
BACKGROUND AND OBJECTIVE: Diagnosis of pathology in the mediastinum has proven quite challenging, gi...
AI tools in radiology are revolutionising the diagnosis, evaluation, and management of patients. How...
BACKGROUND/AIM: Contrast-enhanced mammography (CEM) is a relatively novel imaging technique that ena...
OBJECTIVE: Modic changes (MCs) classification system is the most widely used method in magnetic reso...
Availability of large and diverse medical datasets is often challenged by privacy and data sharing r...
This study aimed to develop a deep learning system for the detection of three-rooted mandibular firs...
BACKGROUND AND OBJECTIVE: Positron emission tomography/computed tomography (PET/CT) is recommended a...
4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive measurement technique capable of ...
Objective - Medical image segmentation is essential for several clinical tasks, including diagnosis,...
There are relatively few studies on the multi-coil reconstruction task of existing Magnetic Resonanc...
Cerebrovascular segmentation is a crucial preliminary task for many computer-aided diagnosis tools d...
Robot-assisted gait training (RAGT) is a promising technique for improving the gait ability of elder...
RATIONALE AND OBJECTIVES: To develop interpretable machine learning models that utilize deep learnin...
RATIONALE AND OBJECTIVES: The expansion of large language models to process images offers new avenue...