GE HealthCare and DeepHealth Announce Strategic Partnership to Advance AI in Medical Imaging

On November 11, 2024, GE HealthCare (NASDAQ: GEHC) and DeepHealth announced a strategic partnership toPromote the Application of Artificial Intelligence in the Imaging Field。

These two companies (as well as DeepHealth's wholly-owned subsidiary RadNet) aim to develop intelligent technology solutions. These solutions leverage artificial intelligence to address key challenges across the entire imaging value chain, includingImprove the Efficiency of Imaging Interpretation and Reporting、Achieve collaboration among nursing teams、Improving the Clinical Interpretation of ImagesAndImprove operational efficiency and productivity。

GE HealthCare, headquartered in Chicago, stated that this collaboration leverages its own imaging expertise and scale. RadNet has extensive experience in care services, while DeepHealth provides AI-driven health informatics. They aim to enhance patient care by improving end-to-end clinical and operational workflows.

DeepHealth's AI-based SmartMammo workflow and GE HealthCare's patient-centered Senographe Pristina mammography system will provide AI-driven clinical imaging support for breast cancer screening. Through this collaboration, the solutionCan support a large number of breast cancer screening programs。

In addition, the two companies are also seeking to integrate SeepHealth's workflow Smart Alerts into the Senographe Pristina platform. The platform utilizes rapid artificial intelligence processing to send alerts to imaging centers within minutes about cases that may contain suspicious lesions.

Kees Wesdorp, President and CEO of RadNet's Digital Health Division, stated that this collaboration could "revolutionize large-scale diagnostic and screening programs, streamline radiology workflows, and improve patient outcomes."

GE Healthcare Imaging President and CEO Roland Rott said, "This new collaboration with DeepHealth leverages the combined strengths of both our organizations to address key challenges in today’s healthcare landscape. We aim to achieve more personalized, patient-centered breast care, and AI continues to show great potential in the field of breast cancer screening, including early detection and risk prediction, as well as reducing callbacks and improving workflow efficiency for breast imaging providers. We are excited to combine the power of imaging and AI to deliver personalized breast care for patients facing this difficult diagnosis."