SleepVLM: Explainable and Rule-Grounded Sleep Staging via a Vision-Language Model 事件

SleepVLM: Explainable and Rule-Grounded Sleep Staging via a Vision-Language Model arXiv:2603.26738v3 Announce Type: replace Abstract: While automated sleep staging has achieved expert-level accuracy, its clinical adoption is hindered by a lack of auditable reasoning. We introduce SleepVLM, a rule-grounded vision-language model (VLM) that stages sleep from multi-channel polysomnography (PSG) waveform images and generates clinician-readable rationales based on American Academy of Sleep Medicine (