Latest AI and machine learning research in radiology for healthcare professionals.
One of the primary sources of suboptimal image quality in ultrasound imaging is phase aberration. It...
Intrathoracic airway segmentation in computed tomography is a prerequisite for various respiratory d...
Medical report generation is a valuable and challenging task, which automatically generates accurate...
Transfer learning has attracted considerable attention in medical image analysis because of the limi...
Large amounts of fMRI data are essential to building generalized predictive models for brain disease...
OBJECTIVE: The aim of this study was to evaluate the reliability and quality of information provided...
BACKGROUND: Manually extracted imaging-based body composition measures from a single-slice area (A) ...
: Accurate reconstruction of internal temperature fields from surface temperature data is critical f...
The human-brain is a vital and complicated organ within the body. Identifying brain-related diseases...
Resting-state functional magnetic resonance imaging (rs-fMRI) provides a non-invasive imaging techni...
RATIONALE AND OBJECTIVES: This study aimed to develop and validate a machine learning-based predicti...
BACKGROUND: Previous studies evaluated the ability of large language models (LLMs) in medical discip...
PURPOSE: Synthetic computed tomography (sCT)-algorithms, which generate computed tomography images f...
BACKGROUND: Artificial intelligence (AI) is rapidly transforming veterinary diagnostic imaging, offe...
In this study, we introduce a denoising method aimed at improving the contrast ratio in low-field MR...
A mask identification and social distance monitoring system using Unmanned Aerial Vehicles (UAV) in ...
RESEARCH QUESTION: Can an optimal machine learning model be developed to predict reproductive outcom...
RATIONALE AND OBJECTIVES: To develop and validate multiple machine learning predictive models incorp...
OBJECTIVES: Low-dose (LD) PET imaging would lead to reduced image quality and diagnostic efficacy. W...
PURPOSE: This study analysed the main artificial intelligence (AI) models for the diagnosis of chole...
Artificial intelligence and robotics are transforming interventional radiology, driven by advancemen...