Latest AI and machine learning research in radiology for healthcare professionals.
UNLABELLED: For dosimetry of radiopharmaceutical therapies, it is essential to determine the volume ...
RATIONALE AND OBJECTIVES: To develop a deep learning model for the automated classification of breas...
Schizophrenia is a chronic neuropsychiatric disorder that causes distinct structural alterations wit...
Artificial intelligence (AI) applied to medicine offers immense promise, in addition to safety and r...
BACKGROUND AND PURPOSE: An MRI of the fetus can enhance the identification of perinatal developmenta...
Perioperative monitoring of cardiac function is beneficial for early detection of cardiovascular com...
This exploratory retrospective study aims to quantitatively compare the image quality of unenhanced ...
BACKGROUND: Artificial intelligence (AI)-based cancer detectors (CAD) for mammography are starting t...
Hepatocellular carcinoma (HCC) is the fifth most common malignancy and the third leading cause of ca...
The application of artificial intelligence (AI) on prostate magnetic resonance imaging (MRI) has sho...
PURPOSE: 2-[F]FDG PET/CT plays an important role in the management of pulmonary nodules. Convolution...
PURPOSE: To compare the diagnostic performance of 1.5 T versus 3 T magnetic resonance angiography (M...
OBJECTIVE: In this paper, we focus on the carrying out and validation of minimally invasive three-di...
OBJECTIVE: Breast cancer treatment often causes the removal of or damage to lymph nodes of the patie...
Motion compensation in radiation therapy is a challenging scenario that requires estimating and fore...
Machine learning has shown great promise for integrating multi-modality neuroimaging datasets to pre...
OBJECTIVE: Normal interictal [ F]FDG-PET can be predicted from the corresponding T1w MRI with Genera...
This study presents a portable device that ensures precise contact force between a subject and a pro...
Two-dimensional lung ultrasound (LUS) has widely emerged as a rapid and noninvasive imaging tool for...
Fusing intraoperative 2-D ultrasound (US) frames with preoperative 3-D magnetic resonance (MR) image...
Ultrasound (US) imaging is a paramount modality in many image-guided surgeries and percutaneous inte...