Nvidia has launched the Medical Open Network for AI, or Monai, a domain-optimized, open-source framework for healthcare.

Introduced in April and already adopted by several healthcare research institutions, Monai is a PyTorch-based framework that enables the development of AI for medical imaging with industry-specific data handling, high-performance training workflows and reproducible reference implementations of approaches.

Monai is now ready for production with the upcoming release of the Nvidia Clara application framework for AI-powered healthcare and life sciences.

As part of the updated Clara offering, Monai will come with over 20 pre-trained models. These include the ones recently developed for COVID-19, as well as the latest training optimizations on NVIDIA DGX A100 GPUs that provide up to a sixfold acceleration in training turnaround time.

DKFZ, King’s College London, Mass General, Stanford and Vanderbilt are among those to adopt the AI framework for imaging.

Monai is being used in everything from imaging competitions to the first boot camp focused on the framework, held in September, which drew over 550 registrants from 40 countries, including undergraduate university students.

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