AI Model Processes Over 1 Million Hours of Sleep Data in Extensive Study

Researchers at the Icahn School of Medicine have developed an artificial intelligence model capable of analyzing a full night’s sleep with high accuracy. The tool, which utilizes transformer architecture similar to that employed by large language models such as ChatGPT, was tested in what is described as one of the largest studies of its kind. The study examined a total of 1,011,192 hours of sleep data and detailed findings were published in the March 13 online issue of the journal *SLEEP*.

The AI system was designed to process complex sleep patterns across extended durations, offering insights into nightly sleep cycles. By leveraging advanced machine learning techniques, researchers aimed to improve understanding and analysis of sleep behaviors on a large scale. The study’s scope and methodology represent a significant step in applying AI technology to health-related research.

Date: 18 March, 2025

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Author

Mark Chiang

紐約 NYU Computer Science 碩士 紐澤西 UMDNJ Biomedical Informatics 博士 中研院博士後 台灣大學博士後