New contrast-enhanced imaging and biopsy capabilities for the Mammomat B.brilliant aim to improve diagnostic accuracy and speed, even for patients with dense breast tissue.
The AI-based software supports all FDA-approved PET radiotracers and is designed to enhance image quality from accelerated low-count acquisitions, with scan times reduced by up to 75%.
Researchers found that neither radiologists nor leading AI models could consistently distinguish real from AI-generated X-rays, highlighting emerging risks in medical imaging and cybersecurity.
The five-year project funded by ARPA-H aims to develop ultra-high dose rate cancer treatments using existing linear accelerators.
The mobile C-arm system features AI-powered imaging tools and cable-free design for interventional procedures.
The implementation of the perfusion imaging tool allows clinicians to perform studies in the operating room, reducing time to treatment for stroke patients.
The investigational system uses X-ray diffraction to measure molecular-level signals in breast tissue, aiming to improve diagnostic precision.