Latest AI and machine learning research in radiology for healthcare professionals.
PURPOSE: The common approach for organ segmentation in hybrid imaging relies on coregistered CT (CTA...
In the field of medical imaging, particularly MRI-based brain tumor classification, we propose an ad...
Breast cancer has reached the highest incidence rate worldwide among all malignancies since 2020. Br...
Magnetic Resonance Imaging (MRI) is a pivotal clinical diagnostic tool, yet its extended scanning ti...
The high volume of emergency room patients often necessitates head CT examinations to rule out ische...
Categorization of alignment into phenotypes can be useful for predicting and analyzing postoperative...
PURPOSE: To develop and validate a prostate-specific membrane antigen (PSMA) PET/CT based multimodal...
BACKGROUND: Accurate preoperative prediction of vascular invasion in breast cancer is crucial for su...
OBJECTIVE: This study was to explore the factors associated with prolonged hospital length of stay (...
PurposeThis study presents a comprehensive machine learning framework for assessing breast cancer ma...
. This study aims to enhance positron emission tomography (PET) imaging systems by developing a cont...
BACKGROUND: Uncertainty in the diagnosis of lung nodules is a challenge for both patients and physic...
BACKGROUND: Coal workers' pneumoconiosis is a chronic occupational lung disease with considerable pu...
BACKGROUND: Glioblastoma (GBM) is a highly aggressive brain tumor associated with a poor patient pro...
Thoracic Cone-beam computed tomography (CBCT) is routinely collected during image-guided radiation t...
The rising incidence of pancreatic diseases, including acute and chronic pancreatitis and various pa...
Noise-induced hearing loss (NIHL) is a common occupational condition. The aim of this study was to d...
Early prediction of recurrence in high-grade glioma (HGG) is critical due to its aggressive nature a...
Breast cancer is one of the most aggressive types of cancer, and its early diagnosis is crucial for ...
We aimed to build a robust classifier for the MGMT methylation status of glioblastoma in multiparame...
Magnetic resonance imaging (MRI) is a non-invasive medical imaging technique that is widely used for...