Latest AI and machine learning research in radiology for healthcare professionals.
Machine learning (ML), a subset of artificial intelligence (AI), utilizes advanced algorithms to lea...
The Cardiovascular Research Technologies (CRT) 2025 conference, a prominent gathering in the field o...
RATIONAL AND OBJECTIVES: Pulmonary embolism (PE) is the third most fatal cardiovascular disease in t...
PURPOSE: Identifying and quantifying coronary artery calcification (CAC) is crucial for preoperative...
PURPOSE: MRI waitlists and discomfort from long scanning sessions are significant problems in clinic...
OBJECTIVE: To identify the correlation between ultrasound findings and the incidence of differential...
Acute and chronic ischemic cardiomyopathy (ICM) still represents a leading cause of morbidity and mo...
Cardiovascular disease is a leading global cause of death, requiring accurate heart segmentation for...
The application of machine learning in medicine and healthcare has led to the creation of numerous d...
Acoustic droplet vaporization (ADV) is an emerging technique with expanding applications in biomedic...
Ultrasonography plays an essential role in breast cancer diagnosis. Current deep learning based stud...
Long scan time significantly hinders the widespread applications of three-dimensional multi-contrast...
The test-time adaptation (TTA) of deep-learning-based semantic segmentation models, specific to indi...
BACKGROUND AND OBJECTIVES: AI has emerged as a transformative force in clinical medicine, changing t...
AIM: The aim of this study was to develop a PET-based machine learning model for predicting visceral...
Cervical length (CL) measurement using transvaginal ultrasound is an effective screening tool to ass...
Motion artifacts compromise the quality of magnetic resonance imaging (MRI) and pose challenges to a...
In a rapidly evolving healthcare environment, artificial intelligence (AI) is transforming diagnosti...
Microvascular invasion (MVI) of hepatocellular carcinoma (HCC) is a crucial histopathologic prognost...
The registration of coronary artery structures from preoperative coronary computed tomography angiog...
Recently, functional magnetic resonance imaging (fMRI)-based brain networks have been shown to be an...