GE HealthCare (Nasdaq:GEHC) and DeepHealth today announced a strategic collaboration to advance the adoption of AI in imaging.
The two companies — with DeepHealth’s wholly-owned subsidiary, RadNet — want to develop SmartTechnology solutions. These harness AI to address key challenges across the imaging value chain, including increasing the efficiency of imaging interpretation and reporting, enabling collaboration across care teams, improving the clinical interpretation of images and enhancing operational efficiency and productivity.
Chicago-based GE HealthCare says the collaboration utilizes its own imaging expertise and scale. RadNet brings deep experience in care delivery and DeepHealth offers AI-powered health informatics. They hope to elevate patient care through improved end-to-end clinical and operational workflows.
DeepHealth’s AI-based SmartMammo workflow and the GE HealthCare patient-centric Senographe Pristina mammography system to bring AI-powered clinical imaging support to breast cancer screening. Through the collaboration, the solution can support high-volume breast cancer screening programs.
Additionally, the companies seek to include Smart Alerts, a SeepHealth workflow, in the Senographe Pristina platform. This utilizes rapid AI processing to alert imaging sites to cases with potentially suspicious lesions in minutes.
Kees Wesdorp, president and CEO of RadNet’s Digital Health division, said the collaboration could “revolutionize large-scale diagnostic and screening programs, streamline radiology workflows, and improve patient outcomes.”
“This new collaboration with DeepHealth harnesses our combined strengths to address critical challenges in healthcare today,” said Roland Rott, president & CEO of Imaging for GE HealthCare. “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.”
