Latest AI and machine learning research in radiology for healthcare professionals.
We investigated the effect of deep learning-based image reconstruction (DLIR) compared to iterative ...
Lung ultrasound (LUS) has emerged as a safe and cost-effective modality for assessing lung health, p...
This study assesses the efficacy of Generative Pre-Trained Transformers (GPT) published by OpenAI in...
This work puts forth and demonstrates the utility of a reporting framework for collecting and evalua...
Accurate geometric modeling of blood vessel lumen from 3D images is crucial for vessel quantificatio...
BACKGROUND: Patients with hypertrophic cardiomyopathy (HCM) are at risk of sudden death, and individ...
PURPOSE: Although several studies have compared the performance of deep learning (DL) models and rad...
This study aims to construct and evaluate a deep learning model, utilizing ultrasound images, to acc...
PURPOSE: To evaluate the 3D U-Net model for automatic segmentation and measurement of cervical spine...
Contrast-enhanced magnetic resonance imaging (MRI) is seriously limited in kidney injury detection d...
PURPOSE: Non-Contrast Enhanced CT (NCECT) is normally required for proton dose calculation while Con...
The medical community does not broadcast the problem, but there are many studies that have reinforce...
Local recurrences in patients with grade 4 adult-type diffuse gliomas mostly occur within residual n...
PURPOSE: The purpose of this study was to assess the predictive performance of multiparametric magne...
Deep learning (DL) in magnetic resonance imaging (MRI) shows excellent performance in image reconstr...
OBJECTIVES: In this paper, an artificial intelligence-based algorithm for predicting the optimal con...
AIM: To investigate the improvement in image quality of triple-low-protocol (low radiation, low cont...
RATIONALE AND OBJECTIVES: Efficiently detecting and characterizing metastatic bone lesions on stagin...
We propose a hybrid technique that employs artificial intelligence (AI)-based segmentation and machi...
This paper aims to thoroughly discuss the impact of artificial intelligence (AI) on clinical practic...
Anomaly detection in medical imaging, particularly within the realm of magnetic resonance imaging (M...