睡眠(系统调用)
安眠药
临床实习
医学
多导睡眠图
物理疗法
失眠症
睡眠障碍
精神科
脑电图
计算机科学
操作系统
作者
Anuja Bandyopadhyay,Charles Bae,Hao Cheng,An Jen Chiang,Maryann C. Deak,Azizi Seixas,Jaspal Singh
出处
期刊:Journal of Clinical Sleep Medicine
[American Academy of Sleep Medicine]
日期:2023-10-01
卷期号:19 (10): 1823-1833
摘要
Since the publication of its 2020 position statement on artificial intelligence (AI) in sleep medicine by the American Academy of Sleep Medicine, there has been a tremendous expansion of AI-related software and hardware options for sleep clinicians. To help clinicians understand the current state of AI and sleep medicine, and to further enable these solutions to be adopted into clinical practice, a discussion panel was conducted on June 7, 2022, at the Associated Professional Sleep Societies Sleep Conference in Charlotte, North Carolina. The article is a summary of key discussion points from this session, including aspects of considerations for the clinician in evaluating AI-enabled solutions including but not limited to what steps might be taken both by the Food and Drug Administration and clinicians to protect patients, logistical issues, technical challenges, billing and compliance considerations, education and training considerations, and other unique challenges specific to AI-enabled solutions. Our summary of this session is meant to support clinicians in efforts to assist in the clinical care of patients with sleep disorders utilizing AI-enabled solutions.Bandyopadhyay A, Bae C, Cheng H, et al. Smart sleep: what to consider when adopting AI-enabled solutions in clinical practice of sleep medicine. J Clin Sleep Med. 2023;19(10):1823-1833.
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