Radiology

A groundbreaking automated MRI segmentation model has been developed to provide accurate and robust segmentation of major anatomical structures across all MRI sequences.

Study reveals racial differences in access to breast-imaging services.

Contrast-enhanced conebeam breast CT imaging features can help identify lymphovascular invasion status in patients with breast cancer, according to recent research.

Study shows combined endobronchial ultrasound and endoscopic ultrasound (CUS) is a highly reliable tool for ruling out N2 disease in patients with PET-negative lung cancer.

Preoperative myosteatosis markers linked to worse survival in early-stage lung cancer patients, improving risk stratification.

Hormonal factors significantly influence the degree of background parenchymal enhancement (BPE) in CEM, study finds.

A new study demonstrates how artificial intelligence (AI) can improve the diagnosis of renal masses using pre-operative CT scans. The AI models developed outperformed experienced radiologists in distinguishing benign from malignant tumors and predicting cancer aggressiveness, paving the way for more precise kidney cancer treatment.

AI proves useful in enhancing breast cancer screening for high-risk women.