View in EDS HTML Full Text PDF Full Text

Accuracy, reliability, readability, and European respiratory society guideline consistency of six generative artificial intelligence chatbots in providing health advice for chronic cough: A cross-sectional comparative assessment.

Saved in:
Bibliographic Details
Title: Accuracy, reliability, readability, and European respiratory society guideline consistency of six generative artificial intelligence chatbots in providing health advice for chronic cough: A cross-sectional comparative assessment.
Authors: Wu ZY; Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China., Hu BB; Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China., Mao QX; Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China., Han YX; Department of Nursing, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China., Zhao Q; Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Source: Digital health [Digit Health] 2026 Apr 15; Vol. 12, pp. 20552076261444223. Date of Electronic Publication: 2026 Apr 15 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Ltd Country of Publication: United States NLM ID: 101690863 Publication Model: eCollection Cited Medium: Print ISSN: 2055-2076 (Print) Linking ISSN: 20552076 NLM ISO Abbreviation: Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42004471
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Accuracy, reliability, readability, and European respiratory society guideline consistency of six generative artificial intelligence chatbots in providing health advice for chronic cough: A cross-sectional comparative assessment.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Wu+ZY%22">Wu ZY</searchLink>; Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.<br /><searchLink fieldCode="AU" term="%22Hu+BB%22">Hu BB</searchLink>; Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.<br /><searchLink fieldCode="AU" term="%22Mao+QX%22">Mao QX</searchLink>; Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.<br /><searchLink fieldCode="AU" term="%22Han+YX%22">Han YX</searchLink>; Department of Nursing, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.<br /><searchLink fieldCode="AU" term="%22Zhao+Q%22">Zhao Q</searchLink>; Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101690863%22">Digital health</searchLink> [Digit Health] 2026 Apr 15; Vol. 12, pp. 20552076261444223. <i>Date of Electronic Publication: </i>2026 Apr 15 (<i>Print Publication: </i>2026).
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22SAGE+Publications+Ltd%22">SAGE Publications Ltd </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101690863 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2055-2076 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220552076%22">20552076 </searchLink><i>NLM ISO Abbreviation: </i>Digit Health <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42004471
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1177/20552076261444223
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 20552076261444223
    Titles:
      – TitleFull: Accuracy, reliability, readability, and European respiratory society guideline consistency of six generative artificial intelligence chatbots in providing health advice for chronic cough: A cross-sectional comparative assessment.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Wu ZY
      – PersonEntity:
          Name:
            NameFull: Hu BB
      – PersonEntity:
          Name:
            NameFull: Mao QX
      – PersonEntity:
          Name:
            NameFull: Han YX
      – PersonEntity:
          Name:
            NameFull: Zhao Q
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 04
              Text: 2026 Apr 15
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 2055-2076
          Numbering:
            – Type: volume
              Value: 12
          Titles:
            – TitleFull: Digital health
              Type: main
ResultId 1