Latest AI and machine learning research in radiology for healthcare professionals.
Megavoltage computed tomography (MVCT) plays a crucial role in patient positioning and dose reconstr...
BACKGROUND: Thyroid cancer, a common endocrine malignancy, has seen increasing incidence, making lym...
BACKGROUND: Artificial intelligence (AI) demonstrates high potential when applied to radiomic analys...
OBJECTIVE: Differentiating between brain metastasis (BM) and glioblastoma (GBM) preoperatively is ch...
BACKGROUND: Radiomic features and deep features are both vitally helpful for the accurate prediction...
BACKGROUND: Home hospitalization is a care modality growing in popularity worldwide. Telemedicine-dr...
Deep-learning-based models have achieved state-of-the-art breast cancer risk (BCR) prediction perfor...
BACKGROUND: Recurrent pregnancy loss (RPL) poses significant challenges in clinical management due t...
The limitation of artificial intelligence (AI) large language models to diagnose diseases from the p...
PURPOSE OF REVIEW: The management of thoracic empyema is often complicated by diagnostic delays, rec...
BACKGROUND: Emergency/trauma radiology artificial intelligence (AI) is maturing along all stages of ...
BACKGROUND: Measurement noise often leads to inaccurate shear wave phase velocity estimation in ultr...
PURPOSE: To quantitatively evaluate the performance of two types of recurrent neural networks (RNNs)...
PURPOSE: Based on CARS Congress events selected from its 40Â year history, this editorial summarises ...
BACKGROUND/OBJECTIVES: Calculating the radiation dose from CT in F-PET/CT examinations poses a signi...
Zearalenone (ZEN) has been detected in both pet food ingredients and final products, causing acute t...
OBJECTIVE: This study aims to evaluate the effectiveness of deep learning features derived from mult...
PURPOSE: This study aims to accurately predict the effects of hormonal therapy on prostate cancer (P...
BACKGROUND: The longitudinal vaginal septum and oblique vaginal septum are female müllerian duct ano...
BACKGROUND: To diagnose Alzheimer disease (AD), individuals are classified according to the severity...
BACKGROUND: Structured and standardized documentation is critical for accurately recording diagnosti...