Latest AI and machine learning research in radiology for healthcare professionals.
This letter responds to the article "Encouragement vs. liability: How prompt engineering influences ...
The inherent "black box" nature of AI algorithms presents a substantial barrier to the widespread ad...
INTRODUCTION: This study presents a novel multi-view learning approach for machine learning (ML)-bas...
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...
BACKGROUND AND OBJECTIVE: Positron emission tomography/computed tomography (PET/CT) is recommended a...
This study aimed to develop a deep learning system for the detection of three-rooted mandibular firs...
Availability of large and diverse medical datasets is often challenged by privacy and data sharing r...
OBJECTIVES: We aim to evaluate the accuracy of radiologists and radiology residents in the detection...
There are relatively few studies on the multi-coil reconstruction task of existing Magnetic Resonanc...
Objective - Medical image segmentation is essential for several clinical tasks, including diagnosis,...
4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive measurement technique capable of ...
Time-dependent diffusion magnetic resonance imaging (TDDMRI) is useful for the non-invasive characte...
Robot-assisted gait training (RAGT) is a promising technique for improving the gait ability of elder...
Cerebrovascular segmentation is a crucial preliminary task for many computer-aided diagnosis tools d...
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...
BACKGROUND: Cardiac magnetic resonance (CMR) imaging is an important diagnostic tool for diagnosis o...
Machine learning models for the diagnosis of breast cancer can facilitate the prediction of cancer r...