NVIDIA’s AI Models Set to Support Medical AI Imaging

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NVIDIA AI models added to HOPPR AI Foundry at NVIDIA GTC 2026. Credit: NVIDIA
NV-Reason and NV-Generate are now available on HOPPR AI Foundry, where reasoning tools provide explanations alongside images and anatomical annotations

NVIDIA’s reasoning and Gen AI models – NV-Reason and NV-Generate – for medical imaging development are now available on HOPPR AI Foundry, a platform designed for developers and researchers to train, evaluate and fine-tune medical imaging AI within a secure compliant environment. 

HOPPR is a US$30m start up founded in 2019 and aims to bring technology and clinical insight together to make AI development in medical imaging faster and more transparent. 

It combines the expertise of clinicians, AI engineers and scientists to accelerate the deployment of foundation models that make a meaningful impact in clinical practice.

HOPPR provides AI medical imaging infrastructure. Credit: HOPPR

NVIDIA’s reasoning and Gen AI models for medical imaging 

Developers can use multimodal reasoning capabilities within NV-Reason for chest X-ray interpretation workflows in AI development. 

The model provides structured analytical reasoning steps alongside model outputs, such as diagnosis or follow-up recommendations, providing clarity into how model interpretations are developed. 

Meanwhile, NV-Generate creates realistic 3D medical images along with paired segmentation masks and anatomical annotations. 

For example, an image could identify regions of interest from a scan – such as tumours, organs or tissues – and explain why it recommends a specific diagnosis.

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How HOPPR AI Foundry works

HOPPR AI Foundry is built on NVIDIA A100 and H100 GPUs and is designed to support the development of medical imaging AI while maintaining strong data controls and compliance with international rules. These include the Digital Imaging and Communications in Medicine standard for storing, transmitting and printing medical images. 

The Foundry also supports model fine-tuning through HOPPR’s Forward Deployed Services, which is a partnership model that combines HOPPR’s machine learning and industry expertise with customer teams for imaging applications. 

Combining the power of NVIDIA and HOPPR 

The availability of NVIDIA open models within the HOPPR AI Foundry expands the range of foundation models available to developers building AI applications for medical imaging. 

David Niewolny, Director of Business Development for Healthcare and Medical at NVIDIA, says: “The next generation of medical imaging AI will combine multimodal reasoning with the ability to generate high-fidelity clinical data.

David Niewolny, Director of Business Development for Healthcare and Medical at NVIDIA. Credit: NVIDIA

“Platforms like the HOPPR AI Foundry enable developers to train and deploy medical imaging on NVIDIA accelerated computing with the performance and scale required for healthcare innovation.”

Dr Khan Siddiqui, CEO and Co-Founder of HOPPR, says: “Medical Imaging AI is entering a new era where models can reason about images and generate new clinical data to accelerate application development.

“The HOPPR AI Foundry brings together secure infrastructure, curated datasets, fine-tuning tooling, and advanced AI models to help developers build the next generation of imaging AI applications.”

Dr Khan Siddiqui, CEO and Co-Founder of HOPPR

The NVIDIA-HOPPR integration was announced at NVIDIA GTC 2026, taking place between 16 and 19 March in San Jose, California. The event features 1,000 sessions with 2,000 speakers and more than 450 sponsors.

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