Artificial intelligence has been hailed as a transformative force in healthcare, especially in radiology. Advanced AI algorithms can analyze medical images in seconds, detect subtle abnormalities, and ...

new portable machines are being deployed to speed up detection and curb the silent transmission of the disease ...

Researchers at Lawrence Livermore National Laboratory (LLNL) are experts in nuclear forensics: the art and science of extracting information about the provenance and history of nuclear materials. Now, ...

Imaging studies are more likely to be repeated within 90 days when the initial study is interpreted by a nonphysician practitioner (NPP) than when interpreted by a radiologist, according to a study ...

Today, on World Heart Day 2025, understanding the early signs of a heart attack has never been more critical. Chest pain is one of the most common reasons people rush to hospitals, but not all ...

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, and ...

Jean C. Pfau discusses the history and health implications of the vermiculite mine in Libby, Montana, and the establishment of the Center for Asbestos-Related Disease (CARD), which offers vital ...

» What are the typical dose levels in DXA? Dose data for the types of equipment currently employed for DXA is care, in comparison to data available for other radiographic modalities. For a spine plus ...

To be included on the World Heritage List, sites must be of outstanding universal value and meet at least one out of ten selection criteria. These criteria are explained in the Operational Guidelines ...

St. Luke’s University Health Network has adopted new AI technology to assist in the review of emergency department X-ray images to identify bone trauma such as fractures, dislocations, effusions and ...