Latest AI and machine learning research in radiology for healthcare professionals.
OBJECTIVES: This study focuses on artificial intelligence (AI)-assisted analysis of alveolar bone fo...
The forefront of micro- and nanorobot research involves the development of smart swimming micromachi...
BACKGROUND: Cardiometabolic disorders pose significant health risks globally. Metabolic syndrome, ch...
. Current lung cancer screening protocols primarily evaluate pulmonary nodules, yet often neglect th...
Artificial intelligence (AI) is a rapidly growing field with significant implications for radiology....
In this study, our objective was to assess the performance of two deep learning-based hippocampal se...
BACKGROUND: Magnetic resonance imaging (MRI) is the gold standard for delineating cancerous lesions ...
PURPOSE: Sequential PET/CT studies oncology patients can undergo during their treatment follow-up co...
OBJECTIVE: To perform image quality comparison between deep learning-based multiband diffusion-weigh...
Machine learning has been increasingly used to obtain individualized neuroimaging signatures for dis...
AIM: To develop and validate a deep learning (DL) algorithm for the automated detection and classifi...
BACKGROUND: Preclinical low-count positron emission tomography (LC-PET) imaging offers numerous adva...
BACKGROUND: Abdominal computed tomography (CT) scan is a crucial imaging modality for creating cross...
Mammography is an effective method for diagnosing breast diseases, and computer-aided detection (CAD...
In the fetal cardiac ultrasound examination, standard cardiac cycle (SCC) recognition is the essenti...
Major Depressive Disorder (MDD) imposes a substantial burden within the healthcare domain, impacting...
Ultrasound-guided percutaneous interventions have numerous advantages over traditional techniques. A...
OBJECTIVE: To investigate the prognostic value of F-FDG PET-based intensity, volumetric features, an...
PURPOSE: Deep learning-based analysis of micro-ultrasound images to detect cancerous lesions is a pr...
PURPOSE: To develop neural network (NN)-based quantitative MRI parameter estimators with minimal bia...
Prostate-specific membrane antigen targeting positron emission tomography (PSMA-PET) is routinely us...