The emergence of deep learning frameworks has improved the development and deployment of medical imaging AI. However, the lack of simple, efficient workflows for training and building cutting-edge deep learning models limits the scalability of AI in clinical practice.
MONAI is an open-source code medical AI framework that helps developers and researchers build and train multi-modal algorithms and models. It provides advanced tools for training AI models and deploying them in clinical workflows, thus enabling rapid innovation and shorter time-to-market. MONAI supports the creation of trusted model development and management in production environments. Its curated Model Zoo offers generative AI models that produce high-quality synthetic data for training deep learning models, helping to jumpstart AI development.
With MONAI’s open-source tools (including foundational modules, reference workflows, and interoperable base components), researchers and developers can:
Accelerate development using pre-trained models, standardized interfaces, and specialized components that support custom model integration.
Develop and deploy AI models quickly and efficiently, achieving superior model accuracy and results.
Access pre-trained models via the Model Zoo to enable accelerated training and deployment, significantly reducing the time-to-market for AI solutions.
Build robust AI solutions optimized for clinical use.
The rapid advancement of AI has revolutionized the field of medical imaging, enabling real-time analysis, enhanced interpretation, precise segmentation, and high-performance inference. These capabilities are critical for improving diagnostic accuracy, accelerating clinical workflows, and ultimately elevating patient care.
NVIDIA’s AI image analysis and inference solutions empower developers and researchers to perform real-time image analysis, enhance image interpretation, and conduct precise image segmentation and quantitative analysis. Leveraging NVIDIA’s advanced tools and platforms (including GPUs and SDKs), these solutions deliver high-performance inference to speed up medical imaging workflows. To bridge the gap between AI development and production, NVIDIA offers pre-optimized models and industry-standard APIs for building robust medical AI applications.
With NVIDIA’s AI image analysis and inference solutions, researchers and developers can:
Analyze images from diverse imaging modalities (such as ultrasound videos, CT, and MRI) to identify potential disease-risk biomarkers.
Perform real-time image analysis to process medical imaging quickly and accurately, boosting diagnostic speed and model precision.
Use advanced AI models to enhance image interpretation and segmentation, gaining deeper insights and precise measurements to support better clinical decision-making.
Optimize AI models with high-performance inference for faster, more efficient processing, reducing the time-to-market for AI-driven medical imaging applications.
