Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: This study aimed to develop and validate a computed tomography angiography based machine...
Cardiovascular diseases remain a significant health burden, with imaging modalities like echocardiog...
Over the last few years, there has been an increasing focus on integrating artificial intelligence (...
This study aimed to evaluate the impact of radiation dose and focal spot size on the image quality o...
Skeletal muscle is a vital organ that promotes human movement and maintains posture. Accurate assess...
INTRODUCTION: Diagnostic imaging is vital in emergency departments (EDs). Accessibility and reportin...
Synthetic computed tomography (sCT) generated from magnetic resonance imaging (MRI) can serve as a s...
Accurately predicting potential evapotranspiration (PET) is crucial in water resource management, ag...
CLINICAL-METHODOLOGICAL PROBLEM: Imaging procedures employing ionizing radiation require compliance ...
The majority of deep learning models in medical image analysis concentrate on single snapshot timepo...
BACKGROUND: To apply machine learning (ML) algorithms to perform multiclass diabetic retinopathy (DR...
OBJECTIVE: Accurate nidus segmentation and quantification have long been challenging but important t...
The traditional diagnostic process for autism spectrum disorder (ASD) is subjective, where early and...
Autism Spectrum Disorders (ASD) are neurodevelopmental disorders that cause people difficulties in s...
PURPOSE: To develop a deep learning (DL) model that can simultaneously detect lateral and medial col...
CLINICAL/METHODICAL ISSUE: Magnetic resonance imaging (MRI) is a central component of musculoskeleta...
The increasing prevalence of heart failure (HF) in ageing populations drives demand for echocardiogr...
Images obtained from single-photon emission computed tomography for myocardial perfusion imaging (MP...
OBJECTIVES: The aim of this study was to compare deep learning reconstructed (DLR) 0.55 T magnetic r...
INTRODUCTION: Amyloid-β (Aβ) plaques is a significant hallmark of Alzheimer's disease (AD), detectab...
Cone-beam computed tomography (CBCT) imaging of the maxillary sinus is indispensable for implantolog...