Academic Journal

Feasibility Assessment of an Intelligent Agent to Assist Preserving Healthy Hearing.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Feasibility Assessment of an Intelligent Agent to Assist Preserving Healthy Hearing.
Συγγραφείς: Wickramasinghe N; School of Computing, Engineering and Mathematical Sciences, La Trobe University, Melbourne, Australia.; Optus Chair for Digital Health.; Australian Centre for Artificial Intelligence in Medical Innovation., Ulapane N; School of Computing, Engineering and Mathematical Sciences, La Trobe University, Melbourne, Australia.; Australian Centre for Artificial Intelligence in Medical Innovation., Wijewickrema S; School of Computing, Engineering and Mathematical Sciences, La Trobe University, Melbourne, Australia.; Australian Centre for Artificial Intelligence in Medical Innovation., Wisk D; The Warren Alpert Medical School, Brown University, Providence, Rhode Island, United States.
Πηγή: Studies in health technology and informatics [Stud Health Technol Inform] 2026 Jul 15; Vol. 339, pp. 82-87.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Imprint Name(s): Original Publication: Amsterdam ; Washington, DC : IOS Press, 1991-
Ιατρικοί όροι (MeSH): Hearing Loss*/diagnosis , Mobile Applications* , Artificial Intelligence* , Natural Language Processing*, Humans ; Feasibility Studies ; Generative Artificial Intelligence ; Smartphone
Περίληψη: Hearing loss is a rising health concern. The World Health Organization estimates that over 1.5 billion people worldwide are currently experiencing hearing loss. This estimate is projected to rise to 2.5 billion by 2050. Hearing loss is often linked with other health conditions, such as dementia, exacerbating its impact. Chronic hearing loss often worsens over time. Early intervention and effective management are therefore important. One of the first intelligent agents designed to provide personalised advice to help preserve the hearing of individuals experiencing mild hearing loss is presented. The intelligent agent functions as a smartphone app that uses natural language processing to extract information from end-users with mild hearing loss and provides evidence-based personalised advice generated through generative artificial intelligence. The advice was assessed through a tailored criterion inspired by the two validated instruments DISCERN and PEMAT scores. Assessment was undertaken across three dimensions: Relevance (measuring how well the advice is personalised to the user), Accuracy (measuring whether the provided information is accurate), and Understandability (measuring whether the text is easily understandable without specialised knowledge). Measurement across 83 AI-generated responses resulted in the following scores: Relevance (85.5%), Accuracy (80.7%) and Understandability (89.2%).
Contributed Indexing: Keywords: artificial intelligence; generative AI; hearing loss; natural language processing; personalisation
Entry Date(s): Date Created: 20260716 Date Completed: 20260716 Latest Revision: 20260716
Update Code: 20260717
DOI: 10.3233/SHTI260969
PMID: 42460597
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:1879-8365
DOI:10.3233/SHTI260969