EviOSAHS decomposes facial images into seven anatomical evidence cards plus clinical data for LLM-based binary OSAHS screening, reporting 88.47% accuracy and 94.86% sensitivity on 642 subjects while outperforming direct prompting baselines.
Sleepapnea:types,mechanisms,andclinicalcardiovascularconsequences.Journalofthe American College of Cardiology, 69(7):841–858, 2017
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Structured Visual Evidence Decomposition for Evidence-Grounded Multimodal Screening of Obstructive Sleep Apnea-Hypopnea Syndrome
EviOSAHS decomposes facial images into seven anatomical evidence cards plus clinical data for LLM-based binary OSAHS screening, reporting 88.47% accuracy and 94.86% sensitivity on 642 subjects while outperforming direct prompting baselines.