{"title":"研究人工智能在预测感知发音障碍程度中的作用。","authors":"Saeed Saeedi, Mahshid Aghajanzadeh","doi":"10.1007/s00405-024-08868-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>This study aims to investigate the role of one of these models in the field of voice pathology and compare its performance in distinguishing the perceived dysphonia level.</p><p><strong>Methods: </strong>Demographic information, voice self-assessments, and acoustic measurements related to a sample of 50 adult dysphonic outpatients were presented to ChatGPT and Perplexity AI chatbots, which were interrogated for the perceived dysphonia level.</p><p><strong>Results: </strong>The agreement between the auditory-perceptual assessment by experts and ChatGPT and Perplexity AI chatbots, as determined by Cohen's Kappa, was not statistically significant (p = 0.429). There was also a low positive correlation (r<sub>s</sub> = 0.30, p = 0.03) between the diagnosis made by ChatGPT and Perplexity AI chatbots (r<sub>s</sub> = 0.30, p = 0.03).</p><p><strong>Conclusion: </strong>It seems that AI could not play a vital role in helping the voice care teams determine the perceptual level of dysphonia.</p>","PeriodicalId":11952,"journal":{"name":"European Archives of Oto-Rhino-Laryngology","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigating the role of artificial intelligence in predicting perceived dysphonia level.\",\"authors\":\"Saeed Saeedi, Mahshid Aghajanzadeh\",\"doi\":\"10.1007/s00405-024-08868-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>This study aims to investigate the role of one of these models in the field of voice pathology and compare its performance in distinguishing the perceived dysphonia level.</p><p><strong>Methods: </strong>Demographic information, voice self-assessments, and acoustic measurements related to a sample of 50 adult dysphonic outpatients were presented to ChatGPT and Perplexity AI chatbots, which were interrogated for the perceived dysphonia level.</p><p><strong>Results: </strong>The agreement between the auditory-perceptual assessment by experts and ChatGPT and Perplexity AI chatbots, as determined by Cohen's Kappa, was not statistically significant (p = 0.429). There was also a low positive correlation (r<sub>s</sub> = 0.30, p = 0.03) between the diagnosis made by ChatGPT and Perplexity AI chatbots (r<sub>s</sub> = 0.30, p = 0.03).</p><p><strong>Conclusion: </strong>It seems that AI could not play a vital role in helping the voice care teams determine the perceptual level of dysphonia.</p>\",\"PeriodicalId\":11952,\"journal\":{\"name\":\"European Archives of Oto-Rhino-Laryngology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Archives of Oto-Rhino-Laryngology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s00405-024-08868-7\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/8/22 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"OTORHINOLARYNGOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Archives of Oto-Rhino-Laryngology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00405-024-08868-7","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/22 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"OTORHINOLARYNGOLOGY","Score":null,"Total":0}
Investigating the role of artificial intelligence in predicting perceived dysphonia level.
Purpose: This study aims to investigate the role of one of these models in the field of voice pathology and compare its performance in distinguishing the perceived dysphonia level.
Methods: Demographic information, voice self-assessments, and acoustic measurements related to a sample of 50 adult dysphonic outpatients were presented to ChatGPT and Perplexity AI chatbots, which were interrogated for the perceived dysphonia level.
Results: The agreement between the auditory-perceptual assessment by experts and ChatGPT and Perplexity AI chatbots, as determined by Cohen's Kappa, was not statistically significant (p = 0.429). There was also a low positive correlation (rs = 0.30, p = 0.03) between the diagnosis made by ChatGPT and Perplexity AI chatbots (rs = 0.30, p = 0.03).
Conclusion: It seems that AI could not play a vital role in helping the voice care teams determine the perceptual level of dysphonia.
期刊介绍：
Official Journal of
European Union of Medical Specialists – ORL Section and Board
Official Journal of Confederation of European Oto-Rhino-Laryngology Head and Neck Surgery
"European Archives of Oto-Rhino-Laryngology" publishes original clinical reports and clinically relevant experimental studies, as well as short communications presenting new results of special interest. With peer review by a respected international editorial board and prompt English-language publication, the journal provides rapid dissemination of information by authors from around the world. This particular feature makes it the journal of choice for readers who want to be informed about the continuing state of the art concerning basic sciences and the diagnosis and management of diseases of the head and neck on an international level.
European Archives of Oto-Rhino-Laryngology was founded in 1864 as "Archiv für Ohrenheilkunde" by A. von Tröltsch, A. Politzer and H. Schwartze.
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