AI RESEARCH
Calibrated Confidence Expression for Radiology Report Generation
arXiv CS.CL
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ArXi:2603.29492v1 Announce Type: new Safe deployment of Large Vision-Language Models (LVLMs) in radiology report generation requires not only accurate predictions but also clinically interpretable indicators of when outputs should be thoroughly reviewed, enabling selective radiologist verification and reducing the risk of hallucinated findings influencing clinical decisions. One intuitive approach to this is verbalized confidence, where the model explicitly states its certainty.