AZmed Expands Into CT Imaging With CE-Marked AZnod, An AI Tool for Lung Nodule Detection and the First Product in the Rayscan® Line

AZmed, one of the leading companies in artificial intelligence (AI) for radiology, announced today the CE marking of AZnod, ...
IEEE

Enhancing Lung Segmentation Algorithms to Ensure Inclusion of Juxtapleural Nodules

Abstract: Computed tomography (CT) is pivotal in detecting and monitoring pulmonary nodules in lung cancer screening. With the advancement of artificial intelligence in medical imaging, accurate lung ...
Newswire

Radon awareness and lung cancer prevention start from the ground up

WINNIPEG, MB, Nov. 28, 2025 /CNW/ - In the summer of 2022, following some follow-up tests after an injury, Bonnie Norris was surprised to receive a phone call revealing that she had been diagnosed ...
Daily

Yashoda Hospitals-Hitech city launches AI-enabled lung nodule clinic

Hyderabad: Yashoda Hospital, Hitech City, in collaboration with Qure.ai and AstraZeneca, has launched an advanced Artificial Intelligence (AI)-powered Lung Nodule Clinic, aimed at transforming early ...
IEEE

MCUNet:Multi-Level Feature and Uncertainty-Guided Lung Nodule Segmentation

Abstract: Lung cancer ranks among the top causes of cancer-related mortality worldwide, and precise segmentation of lung nodules is essential for early detection and diagnosis. However, the low ...
thorax.bmj

Software using artificial intelligence for nodule and cancer detection in CT lung cancer screening: systematic review of test accuracy studies

Objectives To examine the accuracy and impact of artificial intelligence (AI) software assistance in lung cancer screening using CT. Methods A systematic review of CE-marked, AI-based software for ...