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

Wilson, Blake S; Tucci, Debara L; Moses, David A; Chang, Edward F; Young, Nancy M; Zeng, Fan-Gang; Lesica, Nicholas A; ... Francis, Howard W; + view all (2022) Harnessing the Power of Artificial Intelligence in Otolaryngology and the Communication Sciences. Journal of the Association for Research in Otolaryngology , 23 pp. 319-349. 10.1007/s10162-022-00846-2. Green open access

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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.

Type: Article
Title: Harnessing the Power of Artificial Intelligence in Otolaryngology and the Communication Sciences
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s10162-022-00846-2
Publisher version: https://doi.org/10.1007/s10162-022-00846-2
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Life Sciences & Biomedicine, Neurosciences, Otorhinolaryngology, Neurosciences & Neurology, 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, BRAIN-COMPUTER INTERFACES, HEARING-IMPAIRED LISTENERS, HUMAN SENSORIMOTOR CORTEX, SPEECH RECOGNITION, HEALTH-CARE, NEURAL-NETWORKS, ADULTS, MOTOR, PERCEPTION, MACHINE
UCL classification: UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > The Ear Institute
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10148481
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