Latest AI and machine learning research in radiology for healthcare professionals.
Microplastic pollution presents major environmental and health challenges, requiring accurate identi...
Accurate classification of pancreatic lesions is critical for guiding treatment decisions, with comp...
Focal brain lesions from Acquired Brain Injuries (ABIs) present as regions of abnormal signal intens...
BACKGROUND: The optic disc in a child with optic disc drusen (ODD) frequently mimics the optic disc ...
OBJECTIVE: To evaluate the effect of perifissural nodules (PFNs) on radiologist workload within an A...
OBJECTIVE: To develop and validate a deep learning model for the detection of aberrant anterior tibi...
BACKGROUND: Preoperative identification of a ventrally positioned right hepatic artery (vRHA) is cri...
PURPOSE: To assess the impact of defacing-based deidentification techniques on reidentification risk...
BACKGROUND: Despite successful percutaneous coronary intervention (PCI), patients with non-ST-segmen...
OBJECTIVE: Pulmonary embolism (PE) is a life-threatening condition requiring rapid and accurate diag...
Polyethylene terephthalate microplastics (PET-MPs) function as endocrine-disrupting agents that inte...
Accurate staging of prostate cancer is essential for guiding therapy and predicting outcomes. Prosta...
OBJECTIVES: This study aims to evaluate the diagnostic performance of a ResNet50-based convolutional...
PURPOSE: To develop and temporally validate a predictive framework for molecular adequacy in compute...
OBJECTIVE: Accurate imaging-based differentiation of benign and malignant parotid tumors is essentia...
PURPOSE: Glioblastoma (GBM) is an aggressive brain tumor with poor prognosis. O6-methylguanine-DNA-m...
The incidence of thyroid cancer has risen in recent decades, largely due to the widespread use of in...
BACKGROUND: Early prediction of lymph node metastasis (LNM) after neoadjuvant chemoradiotherapy (nCR...
OBJECTIVES: Based on ultrasound technology and clinical indicators, this study intends to develop mu...
BACKGROUND: Acute appendicitis remains one of the most common surgical emergencies, yet its diagnosi...
Objective To investigate Machine Learning (ML) methodologies for predicting glandular dose conversio...