Latest AI and machine learning research in radiology for healthcare professionals.
Ultrasound-guided fine needle aspiration (FNA) biopsy is a common minimally invasive diagnostic pr...
Introduction: Timely identification of intracranial hemorrhage (ICH) subtypes on non-contrast comp...
In late 2024, the CDC released a statement on diagnostic excellence in healthcare. Diagnostic excell...
This dataset provides the first annotated, openly available MRI-based imaging dataset for investigat...
Stereotactic radiosurgery (SRS) is a non-invasive technique that is transforming the management of b...
Cryo-electron tomography is the best-suited imaging technique for visual proteomics. Recent advances...
Musculoskeletal ultrasound (MSUS) and magnetic resonance imaging (MRI) are advanced imaging techniqu...
OBJECTIVE: Ultrasonography and D-dimer testing are established modalities for evaluating potential l...
Conducted in challenging environments such as disaster or conflict areas, operational medicine prese...
Since Alzheimer's disease (AD) is a heterogeneous disease, different subtypes may have distinct biol...
BACKGROUND: This study aimed to develop a BI-RADS network (DL-UM) via integrating ultrasound (US) an...
Deep learning, particularly convolutional neural networks (CNNs), has proven valuable for brain tumo...
Cerebral vascular occlusion is a serious condition that can lead to stroke and permanent neurologica...
Vestibular schwannoma (VS) is the most prevalent intracranial schwannoma. Surgery is one of the opti...
Ultrasound (US) report generation is a challenging task due to the variability of US images, opera...
Low-rank matrix approximation (LoRMA) is a fundamental tool for compressing high-resolution data m...
Glioma is one of the most lethal types of brain tumors, accounting for approximately 33% of all diag...
BACKGROUND: Computed tomography (CT) attenuation correction scans are an intrinsic part of positron ...
Propagation-based imaging (one method of X-ray phase contrast imaging) with microcomputed tomography...
In cardiovascular research, electromagnetic fields (EMFs) induced by Riga plates are applied to stud...
This study investigates changes in resting-state networks (RSNs) associated with tobacco addiction (...