Suppr超能文献

观点：住院医师在促进睡眠医学中安全的机器学习工具中的作用。

Perspective: A resident's role in promoting safe machine-learning tools in sleep medicine.

机构信息

Lehigh Valley Fleming Neuroscience Institute, Lehigh Valley Health Network, Allentown, Pennsylvania.

出版信息

J Clin Sleep Med. 2023 Nov 1;19(11):1985-1987. doi: 10.5664/jcsm.10724.

DOI:10.5664/jcsm.10724
PMID:37477148
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10620660/
Abstract

UNLABELLED

Residents and fellows can play a helpful role in promoting safe and effective machine-learning tools in sleep medicine. Here we highlight the importance of establishing ground truths, considering key variables, and prioritizing transparency and accountability in the development of machine-learning tools within the field of artificial intelligence. Through understanding, communication, and collaboration, in-training physicians have a meaningful opportunity to help progress the field toward safe machine-learning tools in sleep medicine.

CITATION

Smith CM, Vendrame M. Perspective: a resident's role in promoting safe machine-learning tools in sleep medicine. . 2023;19(11):1985-1987.

摘要

未加标签

住院医师和研究员可以在促进睡眠医学中安全有效的机器学习工具方面发挥有益的作用。在这里，我们强调在人工智能领域开发机器学习工具时建立真实基准、考虑关键变量以及优先考虑透明度和问责制的重要性。通过理解、沟通和协作，实习医师有一个有意义的机会来帮助推进该领域在睡眠医学中实现安全的机器学习工具。

参考文献

Smith CM, Vendrame M. 观点：住院医师在促进睡眠医学中安全的机器学习工具方面的作用。J Clin Sleep Med. 2023;19(11):1985-1987.

相似文献

1
Perspective: A resident's role in promoting safe machine-learning tools in sleep medicine.观点：住院医师在促进睡眠医学中安全的机器学习工具中的作用。
J Clin Sleep Med. 2023 Nov 1;19(11):1985-1987. doi: 10.5664/jcsm.10724.
2
Artificial Intelligence/Machine Learning Education in Radiology: Multi-institutional Survey of Radiology Residents in the United States.人工智能/机器学习在放射学中的教育：美国放射科住院医师的多机构调查。
Acad Radiol. 2023 Jul;30(7):1481-1487. doi: 10.1016/j.acra.2023.01.005. Epub 2023 Jan 27.
3
Smart sleep: what to consider when adopting AI-enabled solutions in clinical practice of sleep medicine.智能睡眠：在睡眠医学临床实践中采用人工智能解决方案时需要考虑的因素。
J Clin Sleep Med. 2023 Oct 1;19(10):1823-1833. doi: 10.5664/jcsm.10702.
4
Clinical applications of artificial intelligence in sleep medicine: a sleep clinician's perspective.人工智能在睡眠医学中的临床应用：睡眠临床医生的视角。
Sleep Breath. 2023 Mar;27(1):39-55. doi: 10.1007/s11325-022-02592-4. Epub 2022 Mar 9.
5
Learning with an evolving medicine label: how artificial intelligence-based medication recommendation systems must adapt to changing medication labels.学习不断变化的药品标签：人工智能为基础的药物推荐系统如何适应不断变化的药品标签。
Expert Opin Drug Saf. 2024 May;23(5):547-552. doi: 10.1080/14740338.2024.2338252. Epub 2024 May 6.
6
Toward Augmented Radiologists: Changes in Radiology Education in the Era of Machine Learning and Artificial Intelligence.迈向增强型放射科医生：机器学习和人工智能时代的放射学教育变革。
Acad Radiol. 2018 Jun;25(6):747-750. doi: 10.1016/j.acra.2018.03.007. Epub 2018 Mar 26.
7
Advancing Surgical Education: The Use of Artificial Intelligence in Surgical Training.推进外科教育：人工智能在外科培训中的应用。
Am Surg. 2023 Jan;89(1):49-54. doi: 10.1177/00031348221101503. Epub 2022 May 15.
8
The State of Sleep Medicine Education in North American Psychiatry Residency Training Programs in 2013: Chief Resident's Perspective.2013年北美精神病学住院医师培训项目中的睡眠医学教育状况：总住院医师视角
Prim Care Companion CNS Disord. 2017 Aug 31;19(4):17br02167. doi: 10.4088/PCC.17br02167.
9
Training community-responsive physicians.培养具有社区响应能力的医生。
Acad Med. 2002 Jul;77(7):747. doi: 10.1097/00001888-200207000-00036.
10
Artificial intelligence and machine learning for clinical pharmacology.人工智能和机器学习在临床药理学中的应用。
Br J Clin Pharmacol. 2024 Mar;90(3):629-639. doi: 10.1111/bcp.15930. Epub 2023 Nov 12.

本文引用的文献

1
Artificial Intelligence in Medicine.医学中的人工智能
N Engl J Med. 2023 Mar 30;388(13):1220-1221. doi: 10.1056/NEJMe2206291.
2
Real-Time Detection of Sleep Apnea Based on Breathing Sounds and Prediction Reinforcement Using Home Noises: Algorithm Development and Validation.基于呼吸音的实时睡眠呼吸暂停检测及利用家居噪声的预测强化：算法研发与验证。
J Med Internet Res. 2023 Feb 22;25:e44818. doi: 10.2196/44818.
3
Review of Application of Machine Learning as a Screening Tool for Diagnosis of Obstructive Sleep Apnea.机器学习在阻塞性睡眠呼吸暂停诊断中的应用综述
Medicina (Kaunas). 2022 Nov 1;58(11):1574. doi: 10.3390/medicina58111574.
4
Barriers of artificial intelligence implementation in the diagnosis of obstructive sleep apnea.人工智能在阻塞性睡眠呼吸暂停诊断中的应用障碍。
J Otolaryngol Head Neck Surg. 2022 Apr 25;51(1):16. doi: 10.1186/s40463-022-00566-w.
5
Diagnosis of Sleep Apnoea Using a Mandibular Monitor and Machine Learning Analysis: One-Night Agreement Compared to in-Home Polysomnography.使用下颌监测器和机器学习分析诊断睡眠呼吸暂停：与家庭多导睡眠图的一晚一致性比较
Front Neurosci. 2022 Mar 15;16:726880. doi: 10.3389/fnins.2022.726880. eCollection 2022.
6
Clinical applications of artificial intelligence in sleep medicine: a sleep clinician's perspective.人工智能在睡眠医学中的临床应用：睡眠临床医生的视角。
Sleep Breath. 2023 Mar;27(1):39-55. doi: 10.1007/s11325-022-02592-4. Epub 2022 Mar 9.
7
An open-source, high-performance tool for automated sleep staging.一个用于自动睡眠分期的开源、高性能工具。
Elife. 2021 Oct 14;10:e70092. doi: 10.7554/eLife.70092.
8
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers.医学影像人工智能清单（CLAIM）：作者和审稿人指南
Radiol Artif Intell. 2020 Mar 25;2(2):e200029. doi: 10.1148/ryai.2020200029. eCollection 2020 Mar.
9
A machine learning-based test for adult sleep apnoea screening at home using oximetry and airflow.基于机器学习的家庭血氧和气流监测成人睡眠呼吸暂停筛查测试
Sci Rep. 2020 Mar 24;10(1):5332. doi: 10.1038/s41598-020-62223-4.
10
Artificial intelligence in sleep medicine: background and implications for clinicians.睡眠医学中的人工智能：背景及对临床医生的启示
J Clin Sleep Med. 2020 Apr 15;16(4):609-618. doi: 10.5664/jcsm.8388.

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验