GE HealthCare and DeepHealth, a subsidiary of RadNet, announced they are collaborating on new AI imaging technology to further innovation, commercialization and adoption of AI in imaging.
The companies will codevelop SmartTechnology, solutions that employ the power of AI to tackle key obstacles across the imaging value chain, such as helping increase the efficiency of imaging interpretation and reporting, allowing collaboration across care teams, improving the clinical interpretation of images and strengthening operational efficiency and productivity.
SmartTechnology will unite GE HealthCare’s imaging proficiency and scale capabilities, RadNet’s experience in care delivery and DeepHealth’s AI-enabled health informatics portfolio to improve end-to-end clinical and operational workflows.
At the outset, GE HealthCare and RadNet will first work to combine DeepHealth’s AI-based SmartMammo workflow and clinical solution with GE HealthCare’s patient-centric Senographe Pristina mammography system to deliver AI-powered clinical imaging support to breast cancer screening.
GE HealthCare’s Senographe Pristina mammography system is used to ease anxiety for the patient in the exam room.
The alliance will also allow GE HealthCare to distribute SmartMammo and other DeepHealth solutions to imaging providers in the U.S. as part of GE HealthCare’s extensive portfolio of imaging technologies.
“We are thrilled to collaborate with GE HealthCare to accelerate the adoption of AI-powered technologies in radiology,” Kees Wesdorp, president and CEO of RadNet’s digital health division, said in a statement.
“By combining our pioneering cloud-native operating system, DeepHealth OS and our AI-powered health informatics portfolio with GE HealthCare’s cutting-edge imaging technology, we are poised to revolutionize large-scale diagnostic and screening programs, streamline radiology workflows and improve patient outcomes. This collaboration aims to empower healthcare providers with the tools they need to deliver more effective and personalized care at scale.”
Roland Rott, president and CEO imaging for GE HealthCare, said the company has a legacy of imaging and AI innovation, and is committed to continued pursuit of new technologies that push the boundaries of what is possible to enable precision care.
“This new collaboration with DeepHealth harnesses our combined strengths to address critical challenges in healthcare today,” Rott said in a statement.
“As we look to make more personalized, patient-centered breast care a reality – AI continues to show great promise in breast cancer screening from early detection and risk prediction, to reduced callbacks and more efficient workflows for breast imaging providers. We are excited to bring the power of imaging and AI together to elevate personalized breast care for those facing this difficult diagnosis.”
THE LARGER TREND
In October, GE HealthCare announced CareIntellect for Oncology, a cloud application that joins multimodal patient data from different systems into a single view with the aid of generative AI to give clinicians access to notes and reports.
The application also shows applicable data to help care teams understand disease progression and identify likely deviations from the treatment plan to help clinicians decide probable next steps and inform proactive interventions. The app will initially target prostate and breast cancer. It will be available next year.
In July, GE HealthCare and Amazon Web Services (AWS) formed a strategic partnership to use AWS’ healthcare and genAI services to build AI workflows to help enhance the accuracy of diagnostic screening, streamline healthcare operations and improve equitable care access and outcomes. GE said that it will use Amazon Bedrock’s foundation models to create its own proprietary genAI applications and modernize its applications built on Amazon SageMaker.
In June, GE HealthCare and MediView XR announced the first successful clinical use of their codeveloped OmnifyXR Interventional Suite System.
OmnifyXR pairs GE’s imaging technology with MediView’s AR and surgical navigation platform to help physicians better understand a patient’s anatomy, make more informed clinical decisions and allow for remote collaboration by care teams in different locations.
In 2022, Volpara Health Technologies signed a contract with RadNet to deploy Volpara Analytics and Volpara Risk Pathways software across RadNet’s 353 imaging centers in seven U.S. states.
