NVIDIA 发布 NV-Reason-CT：面向放射科思维链的 3D CT 视觉语言模型
原标题：Introducing NV-Reason-CT Open 3D CT VLM for Radiologist Chain-of-Thought Reasoning
AI 摘要
NVIDIA 发布 NV-Reason-CT，一个专为 3D CT 分析构建的视觉语言模型，将思维链推理扩展到全容积 CT，可生成结构化诊断报告、模拟放射科医生思维链并支持多轮追问对话。该模型基于 NV-Reason-CXR 的推理方法，采用 3D ViT 编码器与 Qwen3.5-4B 语言模型组合，处理 192³ 体素 CT 数据。NVIDIA 强调其定位为开放研究基础模型，而非自主诊断系统或已获批临床产品，供研究人员和开发者针对自身场景进行后训练。
正文节选
Radiology AI has made remarkable strides in detecting abnormalities across chest X-rays, pathology slides, and 2D scans. Yet one of the most clinically rich and data-dense modalities—the 3D computed tomography (CT) scan—remains largely underserved by modern vision language models (VLMs). Frontier general-purpose models perform poorly on volumetric imaging, and most open medical AI models lack the multistep conversational depth that radiologists need to trust and verify AI-generated findings. NVI