CONRep: Uncertainty-Aware Vision-Language Report Drafting Using Conformal Prediction
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The objective of this study is to quantify uncertainty in vision-language model (VLM)-based automated radiology report drafting (ARRD) to support trustworthy clinical deployment. In this study, we developed CONRep in two settings: label-based and sentence-base... ...
