Intermountain Health Implements AI Imaging System for Breast Cancer Surgery
The health system is the first in the US to commercially use the technology to help surgeons identify microscopic cancer in real-time.
The health system is the first in the US to commercially use the technology to help surgeons identify microscopic cancer in real-time.
The technology, based on research from Stanford University, will be integrated into Leo Cancer Care platforms with the first installation at Mayo Clinic.
The five-year project funded by ARPA-H aims to develop ultra-high dose rate photon therapy for standard linear accelerators.
The platform uses a closed helium circuit and AI-based workflows to reduce helium use, energy consumption, and exam time.
The new 510(k)-pending system is designed to simplify workflows with a single universal scan approach, aiming to boost efficiency and reduce complexity across multiple CT exams.
GE HealthCare announced a collaboration with Diagnoly to advance the use of AI in fetal ultrasound assessments
The mobile X-ray aims to enhance bedside imaging and diagnostic clarity for intensive care patients.
The investigational system uses X-ray diffraction and AI to analyze the molecular composition of tissue, aiming to reduce unnecessary biopsies.
The newly cleared software uses deep learning to reduce image noise, cut scan times by up to 50%, and preserve quantitative accuracy across multiple nuclear medicine applications.
A side-by-side look at PACS capabilities, from supported modalities and interoperability standards to pricing, licensing, and EHR integration.
The companies will operate as a single integrated provider under the Tri-Imaging name, bringing together aftermarket imaging parts, field service, depot repair, and technical training across MRI, CT, and X-ray platforms.