AIBullisharXiv – CS AI · 6h ago6/10
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Structured Visual Evidence Decomposition for Evidence-Grounded Multimodal Screening of Obstructive Sleep Apnea-Hypopnea Syndrome
Researchers developed EviOSAHS, an evidence-grounded AI framework that combines visual analysis of facial features with clinical data to screen for obstructive sleep apnea, achieving 94.86% sensitivity and outperforming direct multimodal prompting approaches. The system decomposes facial images into seven anatomical queries before final clinical adjudication, providing a more reliable and auditable screening workflow than traditional foundation model prompting.