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papersTODAY 04:00 UTC

arXiv Paper Revisits Correctness Measures for Uncertainty Estimation in Clinical VLMs

A new preprint examines how correctness is defined when vision-language models are used to make clinical predictions from medical images and electronic health records. The authors argue that current uncertainty estimation methods may be evaluated in ways that do not reflect whether a prediction is actually reliable. The work targets safer deployment by improving how unreliable outputs are detected.

arXivUncertainty estimationclinical-aielectronic-health-recordsmedical imagingvision-language models

COVERAGE · 1 REPORT · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.LGRethinking Correctness for Uncertainty Estimation in Clinical Prediction with Vision-Language Models ↗TODAY 04:00 UTC

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