AI RESEARCH
Visual Alignment of Medical Vision-Language Models for Grounded Radiology Report Generation
arXiv CS.CV
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ArXi:2512.16201v2 Announce Type: replace Radiology Report Generation (RRG) is a critical step toward automating healthcare workflows, facilitating accurate patient assessments, and reducing the workload of medical professionals. Despite recent progress in Large Medical Vision-Language Models (Med-VLMs), generating radiology reports that are both visually grounded and clinically accurate remains a significant challenge. Existing approaches often rely on large labeled corpora for pre-