Harnessing the Power of Artificial Intelligence in Otolaryngology and the Communication Sciences

被引：0

作者：

Blake S. Wilson

Debara L. Tucci

David A. Moses

Edward F. Chang

Nancy M. Young

Fan-Gang Zeng

Nicholas A. Lesica

Andrés M. Bur

Hannah Kavookjian

Caroline Mussatto

Joseph Penn

Sara Goodwin

Shannon Kraft

Guanghui Wang

Jonathan M. Cohen

Geoffrey S. Ginsburg

Geraldine Dawson

Howard W. Francis

机构：

[1] Duke University School of Medicine,Department of Head and Neck Surgery & Communication Sciences

[2] Duke University School of Medicine,Duke Hearing Center

[3] Duke University,Department of Electrical & Computer Engineering

[4] Duke University,Department of Biomedical Engineering

[5] University of North Carolina,Department of Otolaryngology – Head & Neck Surgery

[6] National Institute On Deafness and Other Communication Disorders,Department of Neurological Surgery

[7] National Institutes of Health,Division of Otolaryngology

[8] University of California,Department of Otolaryngology

[9] UCSF Weill Institute for Neurosciences, Head and Neck Surgery

[10] University of California,Department of Communication

[11] Ann and Robert H. Lurie Childrens Hospital of Chicago,Center for Hearing Research

[12] Northwestern University Feinberg School of Medicine,Department of Anatomy and Neurobiology

[13] Knowles Hearing Center,Department of Biomedical Engineering

[14] Northwestern University,Department of Cognitive Sciences

[15] University of California,Department of Otolaryngology – Head and Neck Surgery

[16] University of California,Department of Otolaryngology

[17] University of California, Head and Neck Surgery, Medical Center

[18] University of California,Department of Computer Science

[19] University of California,ENT Department

[20] UCL Ear Institute,MEDx (Medicine & Engineering at Duke)

[21] University College London,Center for Applied Genomics & Precision Medicine

[22] University of Kansas,Department of Medicine

[23] Ryerson University,Department of Pathology

[24] Kaplan Medical Center,Department of Biostatistics and Bioinformatics

[25] Duke University,Duke Institute for Brain Sciences

[26] Duke University School of Medicine,Duke Center for Autism and Brain Development, Duke University School of Medicine and the Duke Institute for Brain Sciences

[27] Duke University School of Medicine,Department of Psychiatry and Behavioral Sciences

[28] Duke University School of Medicine,undefined

[29] Duke University School of Medicine,undefined

[30] Duke University,undefined

[31] NIH Autism Center of Excellence,undefined

[32] Duke University School of Medicine,undefined

来源：

Journal of the Association for Research in Otolaryngology | 2022年 / 23卷

关键词：

Otolaryngology; Machine learning; Artificial intelligence; Deep learning; Human communication; Hearing; Speech production; Speech perception; Auditory prostheses; Auditory system; Hearing aids; Hearing loss; Cochlear implants; Neural prostheses; Neuroprostheses; Brain-computer interfaces; Laryngeal pathology; Thyroid pathology;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Use of artificial intelligence (AI) is a burgeoning field in otolaryngology and the communication sciences. A virtual symposium on the topic was convened from Duke University on October 26, 2020, and was attended by more than 170 participants worldwide. This review presents summaries of all but one of the talks presented during the symposium; recordings of all the talks, along with the discussions for the talks, are available at https://www.youtube.com/watch?v=ktfewrXvEFg and https://www.youtube.com/watch?v=-gQ5qX2v3rg. Each of the summaries is about 2500 words in length and each summary includes two figures. This level of detail far exceeds the brief summaries presented in traditional reviews and thus provides a more-informed glimpse into the power and diversity of current AI applications in otolaryngology and the communication sciences and how to harness that power for future applications.

引用

页码：319 / 349

页数：30

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