Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: Recent NIH Data Management and Sharing (DMS) policy updates and NIH controlled-access data security requirements have increased attention to facial anonymization and controlled-access handling of shared head imaging data. This is particularly relevant for datasets submitted to or hosted by the Cancer Imaging Archive (TCIA), where NCI Cancer Imaging Program/TCIA implementation practices...
Artificial intelligence (AI) is transforming thyroid care, with applications spanning ultrasound risk stratification, cytopathology, histopathology, radiogenomics, prognosis, intraoperative parathyroid identification, thyroid eye disease, functional thyroid disorders, and clinical decision support. This narrative review summarizes the evidence and barriers to adoption. Ultrasound-based AI for thyr...
BACKGROUND: Body mass index fails to capture variation in fat and muscle distribution that determines metabolic health and disease risk. MRI enables r...
Manual segmentation of orbital magnetic resonance imaging (MRI) is labor-intensive, hindering large-scale morphometric studies. To overcome this, we d...
Metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction and alcohol-related liver disease (MetALD) exist on a conti...
Myocardial fibrosis is increasingly recognized as a central determinant of adverse cardiac remodeling and long-term cardiovascular outcomes in childre...
IMPORTANCE: Timely identification of aortic stenosis (AS) is essential for appropriate clinical management, yet screening remains limited by dependenc...
BACKGROUND: Ghana's imaging services face rising demand, uneven digital infrastructure, and limited access to advanced modalities. Artificial intellig...
Accurate brain tumor classification from magnetic resonance imaging (MRI) is essential for supporting early diagnosis and treatment planning. While Vi...
Ultrasonography is an important tool in veterinary medicine, offering non-invasive, real-time diagnostic capabilities with its safety. In recent years...
Pericoronary adipose tissue (PCAT) imaging has emerged as a promising noninvasive marker of coronary inflammation and an adjunctive risk-stratificatio...
OBJECTIVE: Outpatient radiology appointment no-shows delay timely diagnosis and exacerbate healthcare disparities, while also resulting in a significa...
OBJECTIVE: To develop and validate a multiparametric diagnostic model for adenomyosis utilizing standardized cervical anatomical landmarks. By integra...
RATIONALE AND OBJECTIVES: Breast cancer exhibits high biological heterogeneity and variable invasion patterns. Tumor budding (TB) is a key histopathol...
BACKGROUND: Traditional cardiac magnetic resonance (CMR) imaging scan times are long and require breath-holds, often necessitating intubation and mech...
PURPOSE: Standardization and international guidelines for stent size selection are lacking. In this study, we introduce and validate an artificial int...
Accurate morphometric assessment of ascending thoracic aortic aneurysms (ATAA) from computed tomography angiography (CTA) is essential for individuali...
Two-photon autofluorescence (TPAF) microscopy is a promising modality for rapid, label-free assessment of unstained tissue, but is fundamentally limit...
Current vascular grafts face limitations including inadequate mechanical strength, inability to replicate small and complex anatomical structures, eth...
AIMS: Coronary artery disease remains the leading cause of cardiovascular mortality worldwide, with a substantial proportion of acute coronary events ...