Latest AI and machine learning research in radiology for healthcare professionals.
In this study, we present a comprehensive pipeline to train and compare a broad spectrum of machine ...
BACKGROUND: The risk of malignancy in thyroid nodules is higher in children than in adults, often ne...
PURPOSE: Many breast centers are unable to provide immediate results at the time of screening mammog...
BACKGROUND: Computed tomography angiography (CTA) is used to screen for coronary artery calcificatio...
OBJECTIVES: Ultrasound is a promising low-risk imaging modality that can provide objective airway me...
PURPOSE: This study aimed to develop a deep learning (DL) model for brain region parcellation using ...
AIM: Prospective outcome prediction plays a crucial role in guiding preoperative decision-making in ...
AIM: To develop and validate a machine learning (ML) model based on positron emission tomography/com...
Automated extraction of actionable details of recommendations for additional imaging (RAIs) from ra...
OBJECTIVES: This study aimed to evaluate the effectiveness of large language models (LLM) in assessi...
Artificial intelligence-based quantitative coronary angiography (AI-QCA) was introduced to address m...
Medical imaging is pivotal in early disease diagnosis, providing essential insights that enable time...
PURPOSE: Distinguishing between Osteonecrosis of the femoral head (ONFH) and Osteoarthritis (OA) can...
In cardiovascular research, electromagnetic fields generated by Riga plates are utilized to study or...
With developments in computer science and technology, great progress has been made in three-dimensio...
PURPOSE: The common approach for organ segmentation in hybrid imaging relies on coregistered CT (CTA...
BACKGROUND AND OBJECTIVE: To assess whether conventional brightness-mode (B-mode) transrectal ultras...
PURPOSE: This literature review aims to synthesise current research on the application of artificial...
PURPOSE: Build machine learning (ML) models able to predict pathological complete response (pCR) aft...
Liver malignancies, particularly hepatocellular carcinoma (HCC), pose a formidable global health cha...
In the field of medical imaging, particularly MRI-based brain tumor classification, we propose an ad...