一个新的人工智能系统,即睡眠调频系统,使用一个晚上的睡眠数据非常精确地预测130多种疾病。 A new AI system, SleepFM, predicts over 130 diseases using one night of sleep data with high accuracy.

一个新的人工智能系统SleepFM可以预测130多种疾病——包括癌症、痴呆症和心脏病——的风险,仅使用一晚的睡眠数据。 A new AI system, SleepFM, can predict the risk of over 130 diseases—including cancer, dementia, and heart disease—using just one night of sleep data. 分析脑电波、心脏节奏、呼吸和肌肉运动, 以在症状出现前数年发现预警信号。 Trained on nearly 600,000 hours of sleep recordings from 65,000 people, it analyzes brain waves, heart rhythms, breathing, and muscle movements to detect early warning signs years before symptoms appear. 该模型由斯坦福的James Zou等人开发,使用先进的人工智能技术来查明多种身体系统的复杂模式,在乳腺癌和心脏病发作等条件下达到很高的准确度。 The model, developed by Stanford’s James Zou and others, uses advanced AI techniques to identify complex patterns across multiple body systems, achieving high accuracy for conditions like breast cancer and heart attacks. 研究在《自然医学》中发表,认为睡眠数据可作为预防医学的有力工具,尽管还需要进一步验证和更多样化的数据。 Published in Nature Medicine, the research suggests sleep data may serve as a powerful tool for preventive medicine, though further validation and more diverse data are needed.