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Prompts Without Evidence: How Neuroimaging Mentions Shift Clinical Vision-Language Model Predictions

Vu, Doan Nam Long et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learning
Trustworthy clinical AI must use real evidence and avoid relying on surface-level artifacts. We evaluate 12 open-weight vision-language models (VLMs) on two clinical neuroimaging cohorts for binary classification of affective disorders and cognitive decline. Both cohorts include structural magnetic
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