Latest AI and machine learning research in radiology for healthcare professionals.
This systematic review aimed to evaluate the application of artificial intelligence (AI) in the iden...
We aimed to systematically review and meta-analyze the predictive value of magnetic resonance imagin...
The classification of Doppler ultrasound images plays an important role in the diagnosis of pregnanc...
BACKGROUND: Detecting and segmenting intracranial aneurysms (IAs) from angiographic images is a labo...
Multimodal data, while being information-rich, contains complementary as well as redundant informati...
Megavoltage computed tomography (MVCT) plays a crucial role in patient positioning and dose reconstr...
BACKGROUND: Artificial intelligence (AI) demonstrates high potential when applied to radiomic analys...
Deep-learning-based models have achieved state-of-the-art breast cancer risk (BCR) prediction perfor...
PURPOSE: To quantitatively evaluate the performance of two types of recurrent neural networks (RNNs)...
BACKGROUND: The longitudinal vaginal septum and oblique vaginal septum are female müllerian duct ano...
PURPOSE: This study aims to accurately predict the effects of hormonal therapy on prostate cancer (P...
OBJECTIVE: This study aims to evaluate the effectiveness of deep learning features derived from mult...
Zearalenone (ZEN) has been detected in both pet food ingredients and final products, causing acute t...
BACKGROUND/OBJECTIVES: Calculating the radiation dose from CT in F-PET/CT examinations poses a signi...
INTRODUCTION: Precision medicine refers to managing brain tumors according to each patient's unique ...
The evolution of artificial intelligence (AI) has revolutionised numerous aspects of our daily lives...
BACKGROUND AND AIMS: The significance of left ventricular mass and chamber volumes from non-contrast...
PURPOSE: This study explored the use of computer-aided diagnosis (CAD) systems to enhance mammograph...
PURPOSE: To evaluate the feasibility of multiplexed sensitivity-encoding (MUSE) with deep learning-b...
MRI-CT image fusion technology combines magnetic resonance imaging (MRI) and computed tomography (CT...
The disease amyloid plaques, neurofibrillary tangles, synaptic dysfunction, and neuronal death gradu...