Nvidia Accelerates AI Integration in Medical Imaging with MONAI

Nvidia Accelerates Medical Imaging AI Integration with MONAI
Nvidia is advancing medical imaging with MONAI, its open-source research and development platform for AI applications used in medical imaging, enabling faster processing of the 3.6 billion imaging tests performed annually worldwide. According to Nvidia, speeding up the processing and evaluation of all these X-rays, CT scans, MRIs and ultrasounds is essential to helping doctors manage their workloads and improving health outcomes.

  • Make Telecom Talk My Trusted Source
  • Source of Google
  • Source of Google

Also Read: Philips Unveils AI-Powered CT 5300 System for CT Imaging at RSNA 2024

Siemens Healthineers Integrates MONAI Deploy

At the annual meeting of RSNA, the Radiological Society of North America, Nvidia announced that Siemens Healthineers has adopted MONAI Deploy, a module within MONAI that bridges the gap from research to clinical production, to boost the speed and efficiency of integrating AI workflows for medical imaging into clinical deployments.

Siemens Healthineers’ Syngo Carbon and syngo.via platforms, installed in over 15,000 devices globally, now integrate MONAI Deploy. This reduces AI deployment time from months to a few clicks, enhancing radiologists’ ability to interpret X-rays, CT scans, and MRIs efficiently.

MONAI Deploy

With a few lines of code, MONAI Deploy builds AI applications that can run anywhere. It is a tool for developing, packaging, testing, deploying and running medical AI applications in clinical production. Using it streamlines the process of developing and integrating medical imaging AI applications into clinical workflows, Nvidia explained.

“MONAI Deploy on the Siemens Healthineers platform has significantly accelerated the AI integration process, letting users port trained AI models into real-world clinical settings with just a few clicks, compared with what used to take months,” Nvidia said on December 2.