| Literature DB >> 35441936 |
Blake S Wilson1,2,3,4,5, Debara L Tucci6,7, David A Moses8,9, Edward F Chang8,9, Nancy M Young10,11,12, Fan-Gang Zeng13,14,15,16,17, Nicholas A Lesica18, Andrés M Bur19, Hannah Kavookjian19, Caroline Mussatto19, Joseph Penn19, Sara Goodwin19, Shannon Kraft19, Guanghui Wang20, Jonathan M Cohen6,21, Geoffrey S Ginsburg22,23,24,25,26,27, Geraldine Dawson28,29,30, Howard W Francis6.
Abstract
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.Entities:
Keywords: Artificial intelligence; Auditory prostheses; Auditory system; Brain-computer interfaces; Cochlear implants; Deep learning; Hearing; Hearing aids; Hearing loss; Human communication; Laryngeal pathology; Machine learning; Neural prostheses; Neuroprostheses; Otolaryngology; Speech perception; Speech production; Thyroid pathology
Mesh：
Year: 2022 PMID： 35441936 PMCID： PMC9086071 DOI： 10.1007/s10162-022-00846-2
Source DB: PubMed Journal: J Assoc Res Otolaryngol ISSN： 1438-7573