Latest AI and machine learning research in radiology for healthcare professionals.
Since the past decade, the interest towards more precise and efficient healthcare techniques with sp...
BACKGROUND: Computed tomography (CT) reconstruction algorithms can improve image quality, especially...
OBJECTIVE: Deep learning (DL)-enabled magnetic resonance imaging (MRI) reconstructions can enable sh...
PURPOSE: Currently, precise patient body weight (BW) at the time of diagnostic imaging cannot always...
Vital rules learned from fluorodeoxyglucose positron emission tomography (FDG-PET) radiomics of tumo...
Deep learning (DL) has recently emerged as a pivotal technology for enhancing magnetic resonance ima...
Pancreatic cancer is a highly lethal disease with a poor prognosis. Its early diagnosis and accurate...
PURPOSE: Conservative treatment remains the standard approach for first-time patellar dislocations. ...
Spinal bone lesions encompass a wide array of pathologies, spanning from benign abnormalities to agg...
BACKGROUND: Accurately diagnosing brain tumors from MRI scans is crucial for effective treatment pla...
BACKGROUND AND OBJECTIVES: In the last decade, there has been a growing interest in applying artific...
The primary aim of this study was to conduct a methodical examination and assessment of the prognost...
BACKGROUND: No universally recognized transperineal ultrasound parameters are available for evaluati...
Plane wave imaging (PWI) in medical ultrasound is becoming an important reconstruction method with h...
Intervertebral Disc Herniation (IVDH) is a common spinal disease in dogs, significantly impacting th...
OBJECTIVES: The aim of this study is to develop a deep-learning model to create synthetic temporal b...
PURPOSE: To develop and validate a deep learning (DL)-model for automatic reconstruction for coronar...
BACKGROUND: Lenvatinib plus PD-1 inhibitors and interventional (LPI) therapy have demonstrated promi...
: Robotics is commonly used in the rehabilitation of neuro-musculoskeletal injuries and diseases. Wh...
PURPOSE: This study aims to evaluate the effectiveness of advanced deep learning models, specificall...
The present study aimed to evaluate the diagnostic accuracy of ultra-low dose computed tomography (U...