Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: Positron emission tomography (PET) has been investigated for its ability to reconstruct ...
Brain atrophy measurements derived from magnetic resonance imaging (MRI) are a promising marker for ...
Deep neural networks have shown excellent performance in medical image segmentation, especially for ...
BACKGROUND: It was essential to identify individuals at high risk of fragility fracture and prevente...
PURPOSE OF REVIEW: Pulmonary hypertension is a heterogeneous condition with significant morbidity an...
BACKGROUND: To evaluate the efficiency of artificial intelligence (AI)-assisted diagnosis system in ...
A three-dimensional convolutional neural network model was developed to classify the severity of chr...
PURPOSE: To develop a deep learning (DL) model for differentiating between benign and malignant ovar...
The radiological characterization of soil contaminated with natural radionuclides enables the classi...
Ultrasound elastography is a noninvasive medical imaging technique that maps viscoelastic properties...
Accurate and continuous bladder volume monitoring is crucial for managing urinary dysfunctions. Wear...
PURPOSE: To validate the performance of a recently created risk stratification system (RSS) for thyr...
INTRODUCTION: The rise of transformer-based large language models (LLMs), such as ChatGPT, has captu...
TumorPrism3D software was developed to segment brain tumors with a straightforward and user-friendly...
Pseudoprogression (PSP) is a related reaction of glioblastoma treatment, and misdiagnosis can lead t...
Natural Image Captioning (NIC) is an interdisciplinary research area that lies within the intersecti...
PURPOSE: To evaluate lymphovascular invasion (LVI) in breast cancer by comparing the diagnostic perf...
Screening mammography reduces breast cancer mortality, but studies analyzing interval cancers diagno...
OBJECTIVES: To develop and validate a deep learning model for detecting post-endovascular aortic rep...
PURPOSE: This study was designed to develop and validate a machine learning-based, multimodality fus...
OBJECTIVE: Accurately predicting knee osteoarthritis (KOA) is essential for early detection and pers...