Latest AI and machine learning research in radiology for healthcare professionals.
PURPOSE: AI-driven scan time reduction is rapidly transforming medical imaging with benefits such as...
BACKGROUND: AI models like ChatGPT-4o and DeepSeek-3 show diagnostic promise, but their reliability ...
Cerebral palsy (CP) is associated with musculoskeletal complications in children, notably hip migrat...
In recent years, there has been a headlong rush into the use of prostate-specific membrane antigen (...
Fetal ultrasound (US) image segmentation plays an important role in fetal development assessment, ma...
This study focuses on automating the classification of certain thoracic lung cancer stages in 3D FDG...
OBJECTIVE: Based on preoperative clinical text data and lumbar magnetic resonance imaging (MRI), we ...
Recent decades have seen great advances in the diagnosis and management of rectal cancer, and magnet...
OBJECTIVES: Despite its high negative predictive value (NPV) for clinically significant prostate can...
Imaging flow cytometry requires rapid and accurate segmentation methods to ensure high-quality cellu...
OBJECTIVES: One of the most promising auxiliaries for screening breast cancer (BC) is ultrasound (US...
OBJECTIVE: This study aimed to investigate the role of volumetric and dissemination parameters obtai...
BACKGROUND: Motion artifacts are common for knee MRI, which usually lead to rescanning. Effective re...
BACKGROUND: Medulloblastoma (MB) is the most common malignant brain tumor in children. Current diagn...
This study investigates the feasibility of reducing manual image annotation costs in medical image d...
Intraoperative imaging has enhanced the precision of biliary surgery in pediatric patients by improv...
OBJECTIVES: To develop a deep learning model based on Residual Networks (ResNet) for the automated a...
Artificial intelligence (AI) is rapidly transforming cardiovascular imaging by automating tasks such...
BACKGROUND AND PURPOSE: Identifying amyloid-beta (Aβ)-positive patients is essential for Alzheimer's...
PURPOSE: Automated detection and segmentation of surgical devices, such as catheters or wires, in X-...
Coronary CT Angiography (CCTA) is essential for assessing atherosclerosis and coronary artery diseas...