Latest AI and machine learning research in radiology for healthcare professionals.
Purpose To investigate the issues of generalizability and replication of deep learning models by ass...
Purpose To assess the performance of a local open-source large language model (LLM) in various infor...
Purpose To develop an artificial intelligence (AI) deep learning tool capable of predicting future b...
Deep learning-based mammographic evaluations could noninvasively assess response to breast cancer ch...
OBJECTIVE: In Korea, radiology has been positioned towards the early adoption of artificial intellig...
Purpose To compare two deep learning-based commercially available artificial intelligence (AI) syste...
PURPOSE: To train and validate a convolutional neural network to segment nonperfusion areas (NPAs) i...
Background Comparative performance between artificial intelligence (AI) and breast US for women with...
Cerebral small vessel disease (CSVD) is an important cause of stroke, cognitive impairment, and othe...
In contrast to non-contrast computed tomography (NC-CT) scans, contrast-enhanced (CE) CT scans can h...
Tissue segmentation of individual magnetic resonance imaging (MRI) is a fundamental step in building...
Parallel magnetic resonance imaging (pMRI) reconstruction needs tedious parameter tuning process for...
Diffeomorphic image registration is a fundamental step in medical image analysis, owing to its capab...
Accelerated MRI involves a trade-off between sampling sufficiency and acquisition time. Supervised d...
Time courses (TC) and functional network connectivity (FNC) features, derived from functional magnet...
Due to its complexity and time-consuming nature, identifying gliomas at the Magnetic Resonance Imagi...
A chronic total occlusion (CTO) is a complete blockage that impedes blood flow in the coronary arter...
Automated detection of infected insect cells is one of the crucial tasks in the field of recombinant...
Deep learning models based on convolutional neural networks (CNNs) have been used to classify Alzhei...
Micro-ultrasound is a high-resolution ultrasound technology that has recently been introduced as an ...
Rotator cuff tendon tears, the most common shoulder injuries, are typically diagnosed mainly through...