Latest AI and machine learning research in radiology for healthcare professionals.
In healthcare, artificial intelligence (AI) is expected to improve work processes, yet most research...
Advancement in artificial intelligence (AI) has the potential to improve the efficiency and accuracy...
BACKGROUND: Modic changes are pathologies that are common in the population and cause low back pain....
PURPOSE: To develop a deep learning (DL) model based on preoperative contrast-enhanced computed tomo...
OBJECTIVES: This study aimed to evaluate the performance of a deep learning radiomics (DLR) model, w...
Excitotoxicity from the impairment of glutamate uptake constitutes an important mechanism in neurode...
Urinary tract infection (UTI) is a common disorder. Its diagnosis can be made by microscopic examina...
This study aimed to investigate whether deep-learning reconstruction (DLR) improves interobserver a...
CT angiography prior to endovascular aortic surgery is the standard non-invasive imaging method for ...
INTRODUCTION: Fast and accurate diagnosis of acute stroke is crucial to timely initiate reperfusion ...
Robust and reliable diagnostic methods are desired in various types of industries. This article pres...
BACKGROUND: Radiological age assessment using reference studies is inherently limited in accuracy du...
INTRODUCTION: Bidirectional Encoder Representations from Transformers (BERT), introduced in 2018, ha...
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...
PURPOSE: In MRI, motion artifacts can significantly degrade image quality. Motion artifact correctio...
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...