Latest AI and machine learning research in radiology for healthcare professionals.
PURPOSE: To evaluate whether periodically rotated overlapping parallel lines with enhanced reconstru...
Convolutional neural networks (CNNs) are widely recognized for their high precision in image classif...
The BraTioUS (Brain Tumor Intraoperative Ultrasound) dataset [1] is a large-scale, multicenter, and ...
BACKGROUND: Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease, appearing to b...
OBJECTIVE: Image quality evaluation in radiology is most relevant when reflects radiologists' perfor...
Pleural diseases pose a significant burden on healthcare systems due to diagnostic challenges and hi...
Perivascular adipose tissue (PVAT) is a metabolically active tissue that influences vascular functio...
Developing shorter treatment regimens for tuberculosis requires careful characterization of the clin...
OBJECTIVES: This study aims to develop a deep learning model to assist physicians in accurately clas...
PURPOSE: Local tumor progression (LTP) of hepatocellular carcinoma (HCC) after thermal ablation (TA)...
Propagation-based X-ray phase-contrast imaging (PB-XPCI) can produce high-resolution images of soft ...
BACKGROUND: Parkinson disease (PD) presents diagnostic challenges due to its heterogeneous motor and...
Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is essential for monitoring breast ca...
The explosive growth of medical data poses significant challenges for storage and sharing. Current c...
Accurate measurement of bladder volume is essential for diagnosing urinary retention and voiding dys...
BACKGROUND: A routine fast spin-echo (FSE) MRI protocol is widely used to evaluate structural injuri...
INTRODUCTION: Artificial intelligence (AI) is becoming increasingly integrated into clinical care in...
RATIONALE AND OBJECTIVES: Accurate contouring of the Gross Tumor Volume (GTV) in High-Grade Gliomas ...
OBJECTIVES: We evaluated the diagnostic performance and resource efficiency of three multimodal-reas...
OBJECTIVE: To overcome critical limitations of B-mode ultrasound in artificial intelligence diagnost...
Objective.Accurately delineating the visual pathway (VP) is crucial for understanding the human visu...