SOURCE-LINKED INTELLIGENCE
NV-Reason-CT: 3D Visual Language Model for CT Analysis
We present NV-Reason-CT, a generative vision--language model for chest and abdominal CT combining native 3D visual encoding with radiologist-guided reasoning. The model couples a native 3D vision transformer with a language model, passing all visual tokens and their explicit 3D coordinates into language decoding without further spatial token merging. This retains volumetric spatial information within the vision encoder and through the language model's positional encoding during joint processing with text. We train on a curated corpus of approximately 550,000 multimodal instruction examples fro
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-23T08:09:54.000Z
First collected: 2026-09-24T01:22:21.678Z. This is not the publication date.