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人工智能可推动睡眠医学发展。

Artificial Intelligence Can Drive Sleep Medicine.

作者信息

Sun Haoqi, Parekh Ankit, Thomas Robert Joseph

机构信息

Department of Neurology, Beth Israel Deaconess Medical Center, DA-0815, East Campus, 330 Brookline Avenue, Boston, MA 02215, USA.

Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

出版信息

Sleep Med Clin. 2025 Mar;20(1):81-91. doi: 10.1016/j.jsmc.2024.10.001. Epub 2024 Dec 9.

DOI:10.1016/j.jsmc.2024.10.001
PMID:39894601
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11829804/
Abstract

This article explores the transformative role of artificial intelligence (AI) in sleep medicine, highlighting its applications in detecting sleep microstructure patterns and integrating novel metrics. AI enhances diagnostic accuracy and objectivity, addressing inter-rater variability. AI also facilitates the classification of sleep disorders and the prediction of health outcomes. AI can drive sleep medicine to achieve deeper insights into sleep's impact on health, leading to personalized treatment strategies and improved patient care.

摘要

本文探讨了人工智能（AI）在睡眠医学中的变革性作用，重点介绍了其在检测睡眠微观结构模式和整合新指标方面的应用。人工智能提高了诊断的准确性和客观性，解决了评分者间的差异问题。人工智能还有助于睡眠障碍的分类和健康结果的预测。人工智能可以推动睡眠医学更深入地了解睡眠对健康的影响，从而制定个性化的治疗策略并改善患者护理。

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Strengths, weaknesses, opportunities, and threats of using AI-enabled technology in sleep medicine: a commentary.利用人工智能技术在睡眠医学中的优势、劣势、机遇和威胁：述评。
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Electroencephalographic slowing during REM sleep in older adults with subjective cognitive impairment and mild cognitive impairment.老年人主观认知障碍和轻度认知障碍 REM 睡眠时脑电图减慢。
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Altered Motor Activity Patterns within 10-Minute Timescale Predict Incident Clinical Alzheimer's Disease.10分钟时间尺度内运动活动模式的改变可预测临床阿尔茨海默病的发病。
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