Predicting the Intention to Use Generative Artificial Intelligence for Health Information: Comparative Survey Study.
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| Title: | Predicting the Intention to Use Generative Artificial Intelligence for Health Information: Comparative Survey Study. |
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| Authors: | Matthes J; Department of Communication, University of Vienna, Waehringer Street 29, Vienna, 1090, Austria, 43 14277493., Reinhardt A; Department of Media and Communication, Ludwig-Maximilians-Universität München, Munich, Germany., Hodzic S; Department of Communication, University of Vienna, Waehringer Street 29, Vienna, 1090, Austria, 43 14277493., Kaňková J; Department of Communication, University of Vienna, Waehringer Street 29, Vienna, 1090, Austria, 43 14277493., Binder A; Department of Communication, University of Vienna, Waehringer Street 29, Vienna, 1090, Austria, 43 14277493., Bojic L; Digital Society Lab, Institute for Philosophy and Social Theory, University of Belgrade, Belgrade, Serbia.; Institute for Artificial Intelligence Research and Development of Serbia, Novi Sad, Serbia., Maindal HT; Department of Public Health, Aarhus University, Aarhus, Denmark., Paraschiv C; Laboratoire Interdisciplinaire de Recherche Appliquée en Économie de la Santé (LIRAES), Université Paris Cité, Paris, France., Ryom K; Department of Public Health, Aarhus University, Aarhus, Denmark. |
| Source: | Journal of medical Internet research [J Med Internet Res] 2026 Jan 28; Vol. 28, pp. e75648. Date of Electronic Publication: 2026 Jan 28. |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41604597 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting the Intention to Use Generative Artificial Intelligence for Health Information: Comparative Survey Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Matthes+J%22">Matthes J</searchLink>; Department of Communication, University of Vienna, Waehringer Street 29, Vienna, 1090, Austria, 43 14277493.<br /><searchLink fieldCode="AU" term="%22Reinhardt+A%22">Reinhardt A</searchLink>; Department of Media and Communication, Ludwig-Maximilians-Universität München, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Hodzic+S%22">Hodzic S</searchLink>; Department of Communication, University of Vienna, Waehringer Street 29, Vienna, 1090, Austria, 43 14277493.<br /><searchLink fieldCode="AU" term="%22Kaňková+J%22">Kaňková J</searchLink>; Department of Communication, University of Vienna, Waehringer Street 29, Vienna, 1090, Austria, 43 14277493.<br /><searchLink fieldCode="AU" term="%22Binder+A%22">Binder A</searchLink>; Department of Communication, University of Vienna, Waehringer Street 29, Vienna, 1090, Austria, 43 14277493.<br /><searchLink fieldCode="AU" term="%22Bojic+L%22">Bojic L</searchLink>; Digital Society Lab, Institute for Philosophy and Social Theory, University of Belgrade, Belgrade, Serbia.; Institute for Artificial Intelligence Research and Development of Serbia, Novi Sad, Serbia.<br /><searchLink fieldCode="AU" term="%22Maindal+HT%22">Maindal HT</searchLink>; Department of Public Health, Aarhus University, Aarhus, Denmark.<br /><searchLink fieldCode="AU" term="%22Paraschiv+C%22">Paraschiv C</searchLink>; Laboratoire Interdisciplinaire de Recherche Appliquée en Économie de la Santé (LIRAES), Université Paris Cité, Paris, France.<br /><searchLink fieldCode="AU" term="%22Ryom+K%22">Ryom K</searchLink>; Department of Public Health, Aarhus University, Aarhus, Denmark. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22100959882%22">Journal of medical Internet research</searchLink> [J Med Internet Res] 2026 Jan 28; Vol. 28, pp. e75648. <i>Date of Electronic Publication: </i>2026 Jan 28. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Comparative Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22JMIR+Publications%22">JMIR Publications </searchLink><i>Country of Publication: </i>Canada <i>NLM ID: </i>100959882 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1438-8871 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214388871%22">14388871 </searchLink><i>NLM ISO Abbreviation: </i>J Med Internet Res <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41604597 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2196/75648 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e75648 Titles: – TitleFull: Predicting the Intention to Use Generative Artificial Intelligence for Health Information: Comparative Survey Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Matthes J – PersonEntity: Name: NameFull: Reinhardt A – PersonEntity: Name: NameFull: Hodzic S – PersonEntity: Name: NameFull: Kaňková J – PersonEntity: Name: NameFull: Binder A – PersonEntity: Name: NameFull: Bojic L – PersonEntity: Name: NameFull: Maindal HT – PersonEntity: Name: NameFull: Paraschiv C – PersonEntity: Name: NameFull: Ryom K IsPartOfRelationships: – BibEntity: Dates: – D: 28 M: 01 Text: 2026 Jan 28 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1438-8871 Numbering: – Type: volume Value: 28 Titles: – TitleFull: Journal of medical Internet research Type: main |
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