Rethinking Correctness for Uncertainty Estimation in Clinical Prediction with Vision-Language Models

Vision-language models are increasingly explored for clinical prediction from electronic health records and medical images, where identifying unreliable predictions is important for safe deployment. Uncertainty estimation (UE) enables detecting such predictions, but its evaluation depends on a corre