Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: Approximately 20-30Â % of patients with acute ischemic stroke due to lacunar infarction e...
Multimodality is often necessary for improving object segmentation tasks, especially in the case of ...
OBJECTIVE: Hyaluronic acid (HA) can be degraded over time. However, the persistence of the effects a...
Accurate segmentation of nodules in both 2D breast ultrasound (BUS) and 3D automated breast ultrasou...
Magnetic resonance imaging (MRI)-derived hippocampus measurements have been associated with differen...
We explore the potential of deep convolutional neural network (CNN) models for differential diagnosi...
OBJECTIVE: Targeted blood-brain barrier (BBB) opening using focused ultrasound (FUS) and micro/nanob...
Coronary Heart Disease (CHD) is becoming a leading cause of death worldwide. To assess coronary arte...
ChatGPT is increasingly used in healthcare. Fields like dermatology and radiology could benefit from...
Robot-assisted endovascular intervention has the potential to reduce radiation exposure to surgeons ...
BACKGROUND: Despite their exposure to potentially traumatic stressors, the majority of World Trade C...
Diffusion MRI (dMRI) is a powerful technique for investigating tissue microstructure properties. How...
Liver tumors, whether primary or metastatic, significantly impact the outcomes of patients with canc...
BACKGROUND: Soft-tissue and bone tumours (STBT) are rare, diagnostically challenging lesions with va...
Nanomaterials represent an innovation in cancer imaging by offering enhanced contrast, improved targ...
BACKGROUND: Predictive models like Residual Neural Networks (ResNets) can use Magnetic Resonance Ima...
OBJECTIVES: To create a placental radiomics-clinical machine learning model to predict FGR.
Intrahepatic cholangiocarcinoma (iCCA) and other subtypes of primary liver cancer (PLC) have overlap...
Background The increasing integration of artificial intelligence (AI) in medical education and clini...
BACKGROUND: In the HECKTOR 2022 challenge set [1], several state-of-the-art (SOTA, achieving best pe...
The American College of Veterinary Radiology (ACVR) and the European College of Veterinary Diagnosti...