Patient‐Centered Equitable and Safe Artificial Intelligence in Otolaryngology–Head and Neck Surgery

Otolaryngology–Head and Neck SurgeryEarly View Ethics in Practice Patient-Centered Equitable and Safe Artificial Intelligence in Otolaryngology–Head and Neck Surgery Katherine Tai MD, Katherine Tai MD orcid.org/0000-0002-0350-8868 Department of Otolaryngology–Head and Neck Surgery, Sean Parker Institute for the Voice at Weill Cornell Medicine, New York City, New York, USASearch for more papers by this authorRobin Zhao BS, Robin Zhao BS Department of Otolaryngology–Head and Neck Surgery, Sean Parker Institute for the Voice at Weill Cornell Medicine, New York City, New York, USASearch for more papers by this authorAnaïs Rameau MD, MPhil, MS, Corresponding Author Anaïs Rameau MD, MPhil, MS email protected orcid.org/0000-0003-1543-2634 Department of Otolaryngology–Head and Neck Surgery, Sean Parker Institute for the Voice at Weill Cornell Medicine, New York City, New York, USA Corresponding Author: Anaïs Rameau, MD, MPhil, MS, Department of Otolaryngology–Head and Neck Surgery, Sean Parker Institute for the Voice at Weill Cornell Medicine, New York, NY, USA. Email: email protectedSearch for more papers by this author Katherine Tai MD, Katherine Tai MD orcid.org/0000-0002-0350-8868 Department of Otolaryngology–Head and Neck Surgery, Sean Parker Institute for the Voice at Weill Cornell Medicine, New York City, New York, USASearch for more papers by this authorRobin Zhao BS, Robin Zhao BS Department of Otolaryngology–Head and Neck Surgery, Sean Parker Institute for the Voice at Weill Cornell Medicine, New York City, New York, USASearch for more papers by this authorAnaïs Rameau MD, MPhil, MS, Corresponding Author Anaïs Rameau MD, MPhil, MS email protected orcid.org/0000-0003-1543-2634 Department of Otolaryngology–Head and Neck Surgery, Sean Parker Institute for the Voice at Weill Cornell Medicine, New York City, New York, USA Corresponding Author: Anaïs Rameau, MD, MPhil, MS, Department of Otolaryngology–Head and Neck Surgery, Sean Parker Institute for the Voice at Weill Cornell Medicine, New York, NY, USA. Email: email protectedSearch for more papers by this author First published: 29 June 2024 https://doi.org/10.1002/ohn.881Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat References 1Jain S, Suriyakumar V, Creel K, Wilson A. Algorithmic pluralism: a structural approach to equal opportunity. In: The 2024 ACM Conference on Fairness, Accountability, and Transparency. 2024: 197-206. Google Scholar 2Seyyed-Kalantari L, Zhang H, McDermott MBA, Chen IY, Ghassemi M. Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations. Nat Med. 2021; 27(12): 2176-2182. 10.1038/s41591-021-01595-0 CASPubMedWeb of Science®Google Scholar 3Clayton EW, Halverson CM, Sathe NA, Malin BA. A systematic literature review of individuals' perspectives on privacy and genetic information in the United States. PLoS One. 2018; 13(10):e0204417. 10.1371/journal.pone.0204417 PubMedWeb of Science®Google Scholar 4Gymrek M, McGuire AL, Golan D, Halperin E, Erlich Y. Identifying personal genomes by surname inference. Science. 2013; 339(6117): 321-324. 10.1126/science.1229566 CASPubMedWeb of Science®Google Scholar 5Lomas N. UK court tosses class-action style health data misuse claim against Google DeepMind. 2023. Accessed October 27, 2023. https://techcrunch.com/2023/05/19/uk-court-tosses-class-action-style-health-data-misuse-claim-against-google-deepmind/?guccounter=1 2(6):e0000288. 10.1371/journal.pdig.0000288 PubMedGoogle Scholar Early ViewOnline Version of Record before inclusion in an issue ReferencesRelatedInformation