NVIDIA Blog | October 8, 2024 - The U.S. healthcare system is adopting digital health agents to harness AI across the board, from research laboratories to clinical settings.

The latest AI-accelerated tools — on display at the NVIDIA AI Summit taking place this week in Washington, D.C. — include NVIDIA NIM, a collection of cloud-native microservices that support AI model deployment and execution, and NVIDIA NIM Agent Blueprints, a catalog of pretrained, customizable workflows. 

These technologies are already in use in the public sector to advance the analysis of medical images, aid the search for new therapeutics and extract information from massive PDF databases containing text, tables and graphs. 

For example, researchers at the National Cancer Institute, part of the National Institutes of Health (NIH), are using several AI models built with NVIDIA MONAI for medical imaging — including the VISTA-3D NIM foundation model for segmenting and annotating 3D CT images. A team at NIH’s National Center for Advancing Translational Sciences (NCATS) is using the NIM Agent Blueprint for generative AI-based virtual screening to reduce the time and cost of developing novel drug molecules.

With NVIDIA NIM and NIM Agent Blueprints, medical researchers across the public sector can jump-start their adoption of state-of-the-art, optimized AI models to accelerate their work. The pretrained models are customizable based on an organization’s own data and can be continually refined based on user feedback.

NIM microservices and NIM Agent Blueprints are available at ai.nvidia.com and accessible through a wide variety of cloud service providers, global system integrators and technology solutions providers.

ConcertAI, another NVIDIA Inception member, is an oncology AI technology company focused on research and clinical standard-of-care solutions. The company is integrating NIM microservices, NVIDIA CUDA-X microservices and the NVIDIA NeMo platform into its suite of AI solutions for large-scale clinical data processing, multi-agent models and clinical foundation models. 

NVIDIA NIM microservices are supporting ConcertAI’s high-performance, low-latency AI models through its CARA AI platform. Use cases include clinical trial design, optimization and patient matching — as well as solutions that can help boost the standard of care and augment clinical decision-making.

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