Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: Bowel-preserving local resection of early rectal cancer is less successful if the tumor ...
OBJECTIVE: To explore the value of combined radiomics and deep learning models using different machi...
AIM: The current study aims to delineate subcutaneous adipose tissue (SAT), visceral adipose tissue ...
BACKGROUND: Alzheimer's Disease (AD) poses a major challenge as a neurodegenerative disorder, and ea...
OBJECTIVES: This study expolored the relationship between perivascular adipose tissue (PVAT) radiomi...
Artificial intelligence (AI) is enabling us to delve deeply into the information inherent in a mammo...
Artificial intelligence (AI) is defined as the theory and development of computer systems able to pe...
Using Deep Learning in computer-aided diagnosis systems has been of great interest due to its impres...
BACKGROUND: Cardiac cine MRI is the gold standard for cardiac functional assessment, but the inheren...
PURPOSE: Assessment of the stability of intracranial aneurysms is important in the clinic but remain...
Intracranial calcifications, particularly within the falx cerebri, serve as crucial diagnostic marke...
Breast cancer is a leading cause of mortality among women in Taiwan and globally. Non-invasive imag...
OBJECTIVE: To explore whether radiomics analysis of pericoronary adipose tissue (PCAT) captured by c...
OBJECTIVES: To implement state-of-the-art deep learning architectures such as Deep-Residual-U-Net an...
 The aim of this study was to explore an innovative approach for developing deep learning (DL) algo...
We aimed to compare artificial intelligence (AI)-based coronary stenosis evaluation of coronary comp...
In many clinical and research settings, the scarcity of high-quality medical imaging datasets has ha...
AIM: To evaluate the efficacy of automated machine learning (AutoML) models in detecting fundus dise...
Micro- and nanorobots excel in navigating the intricate and often inaccessible areas of the human bo...
PURPOSE: We examined the effectiveness of proprietary and open large language models (LLMs) in detec...
Development of artificial intelligence (AI) for medical imaging demands curation and cleaning of lar...