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#polysomnography News & Analysis

2 articles tagged with #polysomnography. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv – CS AI · Mar 26/1014
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SleepLM: Natural-Language Intelligence for Human Sleep

Researchers have developed SleepLM, a family of AI foundation models that combine natural language processing with sleep analysis using polysomnography data. The system can interpret and describe sleep patterns in natural language, trained on over 100K hours of sleep data from 10,000+ individuals, enabling new capabilities like language-guided sleep event detection and zero-shot generalization to novel sleep analysis tasks.

AIBullisharXiv – CS AI · Mar 34/105
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OSF: On Pre-training and Scaling of Sleep Foundation Models

Researchers developed OSF, a family of sleep foundation models trained on 166,500 hours of sleep data from nine public sources. The study reveals key insights about scaling and pre-training for sleep AI models, achieving state-of-the-art performance across nine datasets for sleep and disease prediction tasks.