Siemens Healthineers Integrates MONAI Deploy for Enhanced Medical Imaging AI
Siemens Healthineers, a global leader in medical technology, has adopted MONAI Deploy to enhance the integration of AI workflows in medical imaging, according to NVIDIA's announcement at the annual Radiological Society of North America (RSNA) meeting. This strategic move aims to boost the efficiency of AI model deployment in clinical environments, significantly reducing the time required to transition from research to clinical practice.
Enhancing AI Workflow Integration
With over 15,000 installations worldwide, Siemens Healthineers' Syngo Carbon and syngo.via platforms are crucial in helping clinicians efficiently interpret medical images from various sources. The integration of MONAI Deploy allows for seamless incorporation of AI applications into these platforms, facilitating quicker deployment of AI models, which traditionally took months, into real-world clinical settings.
Axel Heitland, head of digital technologies and research at Siemens Healthineers, emphasized the importance of this integration, stating that it empowers healthcare institutions to leverage the latest advancements in AI-based medical imaging. By incorporating MONAI Deploy, researchers can swiftly adapt AI models and bring innovations directly to clinical practice, benefiting thousands of clinical researchers worldwide.
MONAI's Growing Influence
Since its inception, MONAI has become a pivotal open-source platform for AI applications in medical imaging, boasting over 3.5 million downloads and contributions from 220 experts globally. The latest release, MONAI v1.4, introduces new foundation models for medical imaging, enhancing customization and deployment capabilities for researchers and clinicians alike.
Notably, the MAISI and VISTA-3D models, now available as NVIDIA NIM microservices, offer advanced features for simulating 3D CT images and segmenting CT images, respectively. These models are integral to the enhanced performance and adaptability that MONAI v1.4 brings to the table.
Global Adoption and Collaboration
MONAI's ecosystem continues to expand, with adoption by leading healthcare institutions, startups, and research organizations worldwide. For instance, the German Cancer Research Center leads MONAI's benchmark and metrics group, while the University of Colorado School of Medicine has developed ophthalmology tools using MONAI for detecting retinal diseases.
Moreover, companies like MathWorks and GSK are integrating MONAI into their platforms, further underscoring its versatility and impact in the medical AI landscape. Cloud service providers such as AWS HealthImaging and Google Cloud also offer MONAI, enabling scalable AI application deployment.
For more information, visit the official [NVIDIA blog](https://blogs.nvidia.com/blog/rsna-siemens-healthineers-monai-medical-imaging-ai/).