AI RESEARCH
MedScribe: Clinically Grounded CT Reporting through Agentic Workflows
arXiv CS.CV
•
ArXi:2605.01779v1 Announce Type: new Vision-language models (VLMs) have shown potential for automated radiology report generation, yet existing approaches rely on global embedding compression of volumetric data, often leading to hallucinated findings and limited anatomical grounding in 3D CT imaging. We