Accelerate the development of medical AI applications to streamline clinical workflows and drive innovation.
Develop Medical Imaging AI Applications With Open-Source Tools
MONAI is an open-source, domain-specific framework for developing, training, and deploying deep learning models for medical imaging.
Researchers, data scientists, and application developers focused on advancing medical AI can use MONAI to build and refine multimodal algorithms and models for medical applications.
MONAI simplifies the integration and management of advanced AI workflows and provides tools for data labeling, model training, and application development and deployment, effectively standardizing AI lifecycles.
Optimize Medical Imaging AI Development With Advanced Models
NVIDIA NIM™ microservices for medical imaging are easy-to-use, GPU-optimized inference services designed to streamline the development of medical AI applications.
Designed to bridge the gap between AI development and production, these microservices offer developers, researchers, and data scientists pre-optimized models and industry-standard APIs to build powerful AI applications.
NIM microservices help accelerate the adoption of advanced AI technologies across medical and biopharma domains by providing a full-stack approach while maintaining high performance and ensuring data security and compliance.
NVIDIA’s MONAI toolkit is a development sandbox offered as part of NVIDIA AI Enterprise. It includes a base container and a curated library of 15+ pretrained models, including CT, MR, pathology, and endoscopy, available on NVIDIA NGC™, that allow data scientists and clinical researchers to jump-start AI development.
Get notified of new releases, bug fixes, critical security updates, and more for medical imaging.