Suppr超能文献

美国耳鼻咽喉头颈外科学会(AAO-HNS)关于人工智能的报告。

American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS) Report on Artificial Intelligence.

作者信息

Ayoub Noel F, Rameau Anaïs, Brenner Michael J, Bur Andrés M, Ator Gregory A, Briggs Selena E, Takashima Masayoshi, Stankovic Konstantina M

机构信息

Department of Otolaryngology-Head and Neck Surgery, Mass Eye & Ear, Boston, Massachusetts, USA.

Department of Otolaryngology-Head and Neck Surgery, Stanford University, Palo Alto, California, USA.

出版信息

Otolaryngol Head Neck Surg. 2025 Feb;172(2):734-743. doi: 10.1002/ohn.1080. Epub 2024 Dec 12.

Abstract

This report synthesizes the American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS) Task Force's guidance on the integration of artificial intelligence (AI) in otolaryngology-head and neck surgery (OHNS). A comprehensive literature review was conducted, focusing on the applications, benefits, and challenges of AI in OHNS, alongside ethical, legal, and social implications. The Task Force, formulated by otolaryngologist experts in AI, used an iterative approach, adapted from the Delphi method, to prioritize topics for inclusion and to reach a consensus on guiding principles. The Task Force's findings highlight AI's transformative potential for OHNS, offering potential advancements in precision medicine, clinical decision support, operational efficiency, research, and education. However, challenges such as data quality, health equity, privacy concerns, transparency, regulatory gaps, and ethical dilemmas necessitate careful navigation. Incorporating AI into otolaryngology practice in a safe, equitable, and patient-centered manner requires clinician judgment, transparent AI systems, and adherence to ethical and legal standards. The Task Force principles underscore the importance of otolaryngologists' involvement in AI's ethical development, implementation, and regulation to harness benefits while mitigating risks. The proposed principles inform the integration of AI in otolaryngology, aiming to enhance patient outcomes, clinician well-being, and efficiency of health care delivery.

摘要

本报告综合了美国耳鼻咽喉头颈外科学会(AAO - HNS)特别工作组关于人工智能(AI)在耳鼻咽喉头颈外科(OHNS)中整合应用的指导意见。开展了全面的文献综述,重点关注AI在OHNS中的应用、益处和挑战,以及伦理、法律和社会影响。该特别工作组由AI领域的耳鼻咽喉科专家组成,采用了一种源自德尔菲法的迭代方法,对纳入的主题进行优先级排序,并就指导原则达成共识。特别工作组的研究结果凸显了AI对OHNS的变革潜力,有望在精准医学、临床决策支持、运营效率、研究和教育等方面取得进展。然而,数据质量、健康公平性、隐私问题、透明度、监管差距和伦理困境等挑战需要谨慎应对。以安全、公平和以患者为中心的方式将AI纳入耳鼻咽喉科实践,需要临床医生的判断、透明的AI系统,并遵守伦理和法律标准。特别工作组的原则强调了耳鼻咽喉科医生参与AI的伦理发展、实施和监管的重要性,以便在利用益处的同时降低风险。所提出的原则为AI在耳鼻咽喉科的整合提供了指导,旨在改善患者治疗效果、临床医生福祉以及医疗服务的效率。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验