NVIDIA Clara™ Train v4.0 will be powered by MONAI -- the Medical Open Network for AI.

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

This release also introduces a game-changer to AI-assisted annotation that allows radiologists to label complex 3D CT data in one-tenth of the clicks with a new model called DeepGrow3D. Instead of the traditional time-consuming method of segmenting an organ or lesion image by image or slice by slice, which can be up to 250 clicks for a large organ like the liver, users can segment with far fewer clicks.

Finally, this release also introduces Clara’s first optimized training pipeline for Pathology segmentation models.

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