Latest AI and machine learning research in radiology for healthcare professionals.
Two-photon autofluorescence (TPAF) microscopy is a promising modality for rapid, label-free assessme...
Current vascular grafts face limitations including inadequate mechanical strength, inability to repl...
AIMS: Coronary artery disease remains the leading cause of cardiovascular mortality worldwide, with ...
OBJECTIVE: To develop and validate a radiomics-clinical model for individualized prediction of the i...
CONTEXT: Radiomics may capture tumor characteristics predicting therapeutic response. OBJECTIVE: To ...
BACKGROUND AND AIMS: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignan...
BACKGROUND: The significant sonographic overlap between metastatic and ultrasound-atypical reactive ...
Ensemble methods for image segmentation improve performance by combining predictions from multiple m...
OBJECTIVES: To evaluate an artificial intelligence (AI) algorithm on three different mammography dev...
PURPOSE: To evaluate the quality and accuracy of YouTube videos regarding PET/CT radiation safety an...
Magnetic resonance neuroimaging is undergoing a major paradigm shift from traditional qualitative an...
BACKGROUND: Although large language models (LLMs) have demonstrated the ability to generate the impr...
Metabolic dysfunction-associated steatotic liver disease (MASLD) is among the most prevalent chronic...
BACKGROUND AND OBJECTIVES: The masseter muscle is associated with oral impairment and age-related fu...
RATIONALE AND OBJECTIVES: This study aimed to develop and validate an interpretable model using pret...
Conventional medical sensors primarily function as passive transducers and often struggle to maintai...
Coronary angiography is routinely acquired during invasive assessment of coronary artery disease, bu...
Magnetic Resonance Imaging (MRI) is a key modality in cancer treatment, providing high soft tissue c...
In MRI examinations, MR-unsafe metallic wheelchairs inadvertently brought into the scanner room repr...
Deep learning (DL) has shown promise in segmenting clinically significant prostate cancer (csPCa) on...
Non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) and invasive e...