睡眠医学中的人工智能:最新的美国睡眠医学学会立场声明。

IF 2.9 3区 医学 Q1 CLINICAL NEUROLOGY
Margarita Oks, Ramesh Sachdeva, Mattina A Davenport, Aatif M Husain, Maninder Kalra, Vidya Krishnan, Trung Le, Ankit A Parekh, Hyung Park, Bharati Prasad, Scott M Ryals, Subaila Zia, Matthew Anastasi, Anita V Shelgikar, Fariha Abbasi-Feinberg, Alexandre Rocha Abreu, Anuja Bandyopadhyay, Indira Gurubhagavatula, Vishesh K Kapur, David Kuhlmann, Eric J Olson, Susheel P Patil, James A Rowley, Lynn Marie Trotti, Emerson M Wickwire
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引用次数: 0

摘要

人工智能(AI)领域正在迅速发展,并有可能对睡眠医学的实践产生重大影响。通过将人工智能纳入临床实践,睡眠从业者可能能够提高为患者提供护理的效率和效果。然而,人工智能必须以负责任的方式实施,充分认识到技术目前的局限性和不断发展的性质。具体而言,必须考虑数据隐私、公平和透明、基础设施和医疗法律问题等原则。其中许多问题都在不断发展,并将继续以新的方式影响人工智能的实施。技术的改进将为临床医生和患者提供新的人工智能选择。不断发展的判例法将影响临床医生、医院和睡眠中心将面临的法律风险。在美国国内和国际上制定新政策将为数据隐私和人工智能的使用提供框架和保障。睡眠临床医生和研究人员应该在这些领域保持更新和知识。随着人工智能在睡眠医学领域的不断发展和进步,它必须成为临床医生(即人类)监督的合作伙伴,而不是替代品。AASM的立场是,负责任的人工智能整合到睡眠医学中有可能加强临床护理和研究,但需要仔细考虑克服临床验证挑战,确保实施后的持续准确性,并将临床相关和用户友好的工具纳入实践,同时维护安全性、适当性和透明度的标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial intelligence in sleep medicine: an updated American Academy of Sleep Medicine position statement.

The field of artificial intelligence (AI) is rapidly expanding and has the potential to significantly impact the practice of sleep medicine. Sleep practitioners may be able to augment the efficiency and effectiveness of care delivery to patients by incorporating AI into clinical practice. However, AI must be implemented in a responsible manner, with a full appreciation of the technology's current limitations and evolving nature. Specifically, the tenets of data privacy, fairness and transparency, infrastructure and medical-legal issues must be considered. Many of these issues are evolving and will continue to impact AI implementation in new ways. Enhancements in technology will provide new AI options for clinicians and patients. Evolving case law will influence the legal risks that clinicians, hospitals and sleep centers will face. Creation of new policies within the U.S. and internationally will provide frameworks and safeguards for data privacy and AI use. Sleep clinicians and researchers should remain updated and knowledgeable in these areas. As AI continues to develop and advance in the sleep medicine field, it must be a partner to, and not a replacement for, clinician (i.e., human) oversight. It is the position of the AASM that responsible AI integration into sleep medicine has the potential to enhance clinical care and research but requires careful consideration to overcome clinical validation challenges, ensure ongoing accuracy after implementation, and incorporate clinically relevant and user-friendly tools into practice, while also upholding standards of safety, appropriateness, and transparency.

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来源期刊
CiteScore
6.20
自引率
7.00%
发文量
321
审稿时长
1 months
期刊介绍: Journal of Clinical Sleep Medicine focuses on clinical sleep medicine. Its emphasis is publication of papers with direct applicability and/or relevance to the clinical practice of sleep medicine. This includes clinical trials, clinical reviews, clinical commentary and debate, medical economic/practice perspectives, case series and novel/interesting case reports. In addition, the journal will publish proceedings from conferences, workshops and symposia sponsored by the American Academy of Sleep Medicine or other organizations related to improving the practice of sleep medicine.
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