Smart sleep: what to consider when adopting AI-enabled solutions in clinical practice of sleep medicine

被引:3
|
作者
Bandyopadhyay, Anuja [1 ,8 ]
Bae, Charles [2 ]
Cheng, Hao [3 ]
Chiang, Ambrose [4 ]
Deak, Maryann [5 ]
Seixas, Azizi [6 ]
Singh, Jaspal [7 ]
机构
[1] Indiana Univ Sch Med, Dept Pediat, Indianapolis, IN USA
[2] Univ Penn, Div Sleep Med, Perelman Sch Med, Philadelphia, PA USA
[3] Miami VA Healthcare Syst, Dept Pulm & Sleep Med, Miami, FL USA
[4] Case Western Reserve Univ, Louis Stokes Cleveland VA Med Ctr, Cleveland, OH USA
[5] eviCore Healthcare, Boston, MA USA
[6] Univ Miami, Dept Informat & Hlth Data Sci, Miller Sch Med, Coral Gables, FL USA
[7] Wake Forest Sch Med, Atrium Hlth Dept Med, Charlotte, NC USA
[8] Indiana Univ Sch Med, Dept Pediat, 340 W 10th St Ste 6200, Indianapolis, IN 46202 USA
来源
JOURNAL OF CLINICAL SLEEP MEDICINE | 2023年 / 19卷 / 10期
关键词
AI-enabled solutions; clinical sleep medicine; artificial intelligence; machine learning; ARTIFICIAL-INTELLIGENCE;
D O I
10.5664/jcsm.10702
中图分类号
R74 [神经病学与精神病学];
学科分类号
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 AI-enabled solutions.
引用
收藏
页码:1823 / 1833
页数:11
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