Medical imaging has long been a cornerstone of modern healthcare, enabling doctors to detect diseases, monitor progress, and guide treatments. Today, the integration of machine learning is pushing the ...

Please provide your email address to receive an email when new articles are posted on . An estimated 10% of hematologic cancers among children and adolescents may be attributable to medical ...

One in 10 childhood blood cancers may result from medical imaging-associated radiation exposure. Cancer risk increased with cumulative radiation dose, ranging from 1.41 times higher to 3.59 times ...

A study led by UC San Francisco and UC Davis has concluded that radiation from medical imaging is associated with a higher risk of blood cancers in children. The researchers examined data from nearly ...

A study led by UC San Francisco and UC Davis has concluded that radiation from medical imaging is associated with a higher risk of blood cancers in children. The researchers examined data from nearly ...

The American Medical Association has released new medical codes for 2026 amid a growing debate about whether the medical group may have too much influence over the healthcare coding system. The AMA ...

Abstract: Accurate segmentation of thoracoabdominal anatomical structures in three-dimensional medical imaging modalities is fundamental for informed clinical decision-making across a wide array of ...

The Python team at Microsoft is continuing its overhaul of environment management in Visual Studio Code, with the August 2025 release advancing the controlled rollout of the new Python Environments ...

Medical SAM 2, or say MedSAM-2, is an advanced segmentation model that utilizes the SAM 2 framework to address both 2D and 3D medical image segmentation tasks. This model and methods were adapted in ...

Abstract: Foundation models for interactive segmentation in 2D natural images and videos have sparked significant interest in building 3D foundation models for medical imaging. However, the domain ...