Nvidia has introduced new open models to its AI-powered Clara suite of applications, models, and tools, including models for imaging.
The new models for Clara include Reason, a vision language model that advances explainable AI in imaging; Segment, for interactive 3D segmentation and annotation; and Generate, for producing high-quality synthetic CT and MR images.
Nvidia said that it collaborated with the National Institutes of Health (NIH) to capture the human expert reasoning process, with the aim of improving the transparency and interpretability of medical AI.
The NIH is integrating Clara Reason models into its radiology workflows to assist with drafting reports and explaining findings, as well as to support clinician training, Nvidia said.
In addition to imaging models, Nvidia is also introducing models aimed at enabling the early drug-discovery pipeline. These include CodonFM, a model that learns the rules of RNA to reveal how changes in its code can improve the design of therapeutics, and La-Proteina, which creates 3D protein structures atom by atom. La-Proteina works at double the length and faster than similar models, Nvidia added, to enable the design of better medicines, enzymes, and materials.
Additionally, Kitware has integrated Clara open models into its VolView platform, allowing users to experiment with AI capabilities for segmentation, reasoning, and generative workflows within their existing imaging and data ecosystems.















![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)



