Each colour maps a published value to the exact source passage used to support it. Only bounded excerpts are public; administrators can inspect the complete captured source.
Title
Siemens Healthineers and Intel Deploy Edge AI for Radiation Therapy Planning and Cardiac MRI
AI at the edge: How Intel and Siemens Healthineers are redefining AI deployment in healthcare – Digital Medicine Society (DiMe) Skip to main content About Us Meet the…
Description
Siemens Healthineers worked with Intel to run AI-Rad Companion image segmentation directly on existing Intel-powered imaging hardware at Geisinger, a health system in Central Pennsylvania, automating the manual contouring of tumors and healthy tissue for radiation therapy planning without sending data off-site. The edge AI deployment scaled to 11 facilities serving over 3 million patients without new servers, and a related cardiac MRI application processes images 5.5 times faster with near-real-time analysis and no accuracy loss.
…ing therapy and longer periods of uncertainty during an already stressful time. Through collaboration with Intel, Siemens Healthineers deployed AI-Rad Companion that automates the image segmentation process. Because the solution runs at the edge—on Siemens’ imaging systems optimiz…
…more scalable.” That scalability proved key. After initial success at one site, Geisinger was able to rapidly expand the solution across 11 facilities serving over 3 million patients in Central Pennsylvania, maintaining performance and consistency without relying on additional bandwidt…
Company
Siemens Healthineers
AI at the edge: How Intel and Siemens Healthineers are redefining AI deployment in healthcare – Digital Medicine Society (Di…
Industry
Healthcare
AI at the edge: How Intel and Siemens Healthineers are redefining AI deployment in healthcare – Digital Medicine Society (DiMe) Skip to main content About Us Meet the…
Problem
Treatment planning traditionally required dosimetrists to manually contour cancerous tumors and surrounding healthy tissues on medical images, a painstaking process that could take hours or days and delayed the start of radiation therapy for patients.
…to generate radiation treatment plans without compromising precision or safety. Traditionally, treatment planning required dosimetrists to manually contour cancerous tumors and surrounding healthy tissues on medical images—a painstaking process that could take hours or days. For patients, that meant delays in beginning therapy and longer periods of unce…
Solution
Through collaboration with Intel, Siemens Healthineers deployed AI-Rad Companion to automate the image segmentation process, running at the edge on Siemens' imaging systems optimized by Intel processors so it delivers near-instant results without transmitting sensitive data off-site, reusing existing infrastructure rather than requiring new servers.
…solution introduces cost, complexity, and security concerns,” said Flores. “By optimizing the AI to run directly on Intel central processing units (CPUs) already in place, we eliminate those barriers—and make the solution much more scalable.” That sc…
Technology
AI-Rad Companion, Intel CPUs
…uncertainty during an already stressful time. Through collaboration with Intel, Siemens Healthineers deployed AI-Rad Companion that automates the image segmentation process. Because the solution runs at the…
…solution introduces cost, complexity, and security concerns,” said Flores. “By optimizing the AI to run directly on Intel central processing units (CPUs) already in place, we eliminate those barriers—and make the solution much more scalable.” That sc…
Deployment model
on-premise
…uns at the edge—on Siemens’ imaging systems optimized by Intel processors—it delivers near-instant results without needing to transmit sensitive data off-site, reducing exposure to risks such as unauthorized access, data breaches, and pot…
Deployment options
On-premise
…uns at the edge—on Siemens’ imaging systems optimized by Intel processors—it delivers near-instant results without needing to transmit sensitive data off-site, reducing exposure to risks such as unauthorized access, data breaches, and pot…
Use case type
Visual inspection
…h collaboration with Intel, Siemens Healthineers deployed AI-Rad Companion that automates the image segmentation process. Because the solution runs at the edge—on Siemens’ imaging systems optimi…
Headline outcome
…more scalable.” That scalability proved key. After initial success at one site, Geisinger was able to rapidly expand the solution across 11 facilities serving over 3 million patients in Central Pennsylvania, maintaining performance and consistency without relying on additional bandwidt…
AI capabilities
Computer Vision
…h collaboration with Intel, Siemens Healthineers deployed AI-Rad Companion that automates the image segmentation process. Because the solution runs at the edge—on Siemens’ imaging systems optimi…
