Latest AI and machine learning research in radiology for healthcare professionals.
Intrathoracic airway segmentation in computed tomography is a prerequisite for various respiratory d...
One of the primary sources of suboptimal image quality in ultrasound imaging is phase aberration. It...
Medical image analysis poses significant challenges due to limited availability of clinical data, wh...
BACKGROUND: Manually extracted imaging-based body composition measures from a single-slice area (A) ...
The human-brain is a vital and complicated organ within the body. Identifying brain-related diseases...
RATIONALE AND OBJECTIVES: This study aimed to develop and validate a machine learning-based predicti...
Resting-state functional magnetic resonance imaging (rs-fMRI) provides a non-invasive imaging techni...
PURPOSE: Synthetic computed tomography (sCT)-algorithms, which generate computed tomography images f...
BACKGROUND: Previous studies evaluated the ability of large language models (LLMs) in medical discip...
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 ...
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...
Magnetic resonance imaging (MRI) provides detailed structural information of the internal body organ...
Osteochondral interface consists of two tissues: the calcified cartilage (CC) containing chondrocyte...
The application of deep learning techniques for the analysis of neuroimaging has been increasing rec...
: Early diagnosis of depression is crucial for effective treatment and suicide prevention. Tradition...
PurposeWe aimed to investigate the external validation and performance of an FDA-approved deep learn...