The Scaffold Effect: How Prompt Framing Drives Apparent Multimodal Gains in Clinical VLM Evaluation

1. 1Evaluate vision-language models on clinical neuroimaging cohorts
2. 2Assess the impact of prompt framing on apparent multimodal gains
3. 3Consider the difference between genuine evidence integration and surface-level artifacts
4. 4Analyze the results to determine the reliability of individual-level diagnostic signals

AI engineers and researchers working on clinical AI applications can benefit from understanding the scaffold effect, as it impacts the evaluation of vision-language models

💡 Prompt framing can lead to apparent multimodal gains in clinical VLM evaluation, rather than genuine evidence integration

🚀 Prompt framing affects clinical VLM evaluation #AI #ClinicalAI