View in EDS

A systematic review of artificial intelligence-based diagnosis models for idiopathic pulmonary fibrosis.

Saved in:
Bibliographic Details
Title: A systematic review of artificial intelligence-based diagnosis models for idiopathic pulmonary fibrosis.
Authors: Yan RN; National Regional Traditional Chinese Medicine (Lung Disease) Diagnosis and Treatment Center, The First Affiliated Hospital of Henan University of CM, Zhengzhou, China.; The First Clinical Medicine College, Henan University of Chinese Medicine, Zhengzhou, China., Hu HY; National Regional Traditional Chinese Medicine (Lung Disease) Diagnosis and Treatment Center, The First Affiliated Hospital of Henan University of CM, Zhengzhou, China.; The First Clinical Medicine College, Henan University of Chinese Medicine, Zhengzhou, China., Ma ZR; National Regional Traditional Chinese Medicine (Lung Disease) Diagnosis and Treatment Center, The First Affiliated Hospital of Henan University of CM, Zhengzhou, China.; The First Clinical Medicine College, Henan University of Chinese Medicine, Zhengzhou, China., Zhao WH; National Regional Traditional Chinese Medicine (Lung Disease) Diagnosis and Treatment Center, The First Affiliated Hospital of Henan University of CM, Zhengzhou, China.; The First Clinical Medicine College, Henan University of Chinese Medicine, Zhengzhou, China., Xu LL; National Regional Traditional Chinese Medicine (Lung Disease) Diagnosis and Treatment Center, The First Affiliated Hospital of Henan University of CM, Zhengzhou, China.; The First Clinical Medicine College, Henan University of Chinese Medicine, Zhengzhou, China., Zang DY; National Regional Traditional Chinese Medicine (Lung Disease) Diagnosis and Treatment Center, The First Affiliated Hospital of Henan University of CM, Zhengzhou, China., Yang SG; National Regional Traditional Chinese Medicine (Lung Disease) Diagnosis and Treatment Center, The First Affiliated Hospital of Henan University of CM, Zhengzhou, China., Yu XQ; National Regional Traditional Chinese Medicine (Lung Disease) Diagnosis and Treatment Center, The First Affiliated Hospital of Henan University of CM, Zhengzhou, China.
Source: Journal of thoracic disease [J Thorac Dis] 2026 May 31; Vol. 18 (5), pp. 546. Date of Electronic Publication: 2026 Apr 23.
Publication Type: Journal Article; Review
Journal Info: Publisher: AME Publishing Company Country of Publication: China NLM ID: 101533916 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2072-1439 (Print) Linking ISSN: 20721439 NLM ISO Abbreviation: J Thorac Dis Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42306685
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A systematic review of artificial intelligence-based diagnosis models for idiopathic pulmonary fibrosis.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Yan+RN%22">Yan RN</searchLink>; National Regional Traditional Chinese Medicine (Lung Disease) Diagnosis and Treatment Center, The First Affiliated Hospital of Henan University of CM, Zhengzhou, China.; The First Clinical Medicine College, Henan University of Chinese Medicine, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Hu+HY%22">Hu HY</searchLink>; National Regional Traditional Chinese Medicine (Lung Disease) Diagnosis and Treatment Center, The First Affiliated Hospital of Henan University of CM, Zhengzhou, China.; The First Clinical Medicine College, Henan University of Chinese Medicine, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Ma+ZR%22">Ma ZR</searchLink>; National Regional Traditional Chinese Medicine (Lung Disease) Diagnosis and Treatment Center, The First Affiliated Hospital of Henan University of CM, Zhengzhou, China.; The First Clinical Medicine College, Henan University of Chinese Medicine, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Zhao+WH%22">Zhao WH</searchLink>; National Regional Traditional Chinese Medicine (Lung Disease) Diagnosis and Treatment Center, The First Affiliated Hospital of Henan University of CM, Zhengzhou, China.; The First Clinical Medicine College, Henan University of Chinese Medicine, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Xu+LL%22">Xu LL</searchLink>; National Regional Traditional Chinese Medicine (Lung Disease) Diagnosis and Treatment Center, The First Affiliated Hospital of Henan University of CM, Zhengzhou, China.; The First Clinical Medicine College, Henan University of Chinese Medicine, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Zang+DY%22">Zang DY</searchLink>; National Regional Traditional Chinese Medicine (Lung Disease) Diagnosis and Treatment Center, The First Affiliated Hospital of Henan University of CM, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Yang+SG%22">Yang SG</searchLink>; National Regional Traditional Chinese Medicine (Lung Disease) Diagnosis and Treatment Center, The First Affiliated Hospital of Henan University of CM, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Yu+XQ%22">Yu XQ</searchLink>; National Regional Traditional Chinese Medicine (Lung Disease) Diagnosis and Treatment Center, The First Affiliated Hospital of Henan University of CM, Zhengzhou, China.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101533916%22">Journal of thoracic disease</searchLink> [J Thorac Dis] 2026 May 31; Vol. 18 (5), pp. 546. <i>Date of Electronic Publication: </i>2026 Apr 23.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Review
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22AME+Publishing+Company%22">AME Publishing Company </searchLink><i>Country of Publication: </i>China <i>NLM ID: </i>101533916 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2072-1439 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220721439%22">20721439 </searchLink><i>NLM ISO Abbreviation: </i>J Thorac Dis <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42306685
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.21037/jtd-2026-1-0307
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 546
    Titles:
      – TitleFull: A systematic review of artificial intelligence-based diagnosis models for idiopathic pulmonary fibrosis.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Yan RN
      – PersonEntity:
          Name:
            NameFull: Hu HY
      – PersonEntity:
          Name:
            NameFull: Ma ZR
      – PersonEntity:
          Name:
            NameFull: Zhao WH
      – PersonEntity:
          Name:
            NameFull: Xu LL
      – PersonEntity:
          Name:
            NameFull: Zang DY
      – PersonEntity:
          Name:
            NameFull: Yang SG
      – PersonEntity:
          Name:
            NameFull: Yu XQ
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 31
              M: 05
              Text: 2026 May 31
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 2072-1439
          Numbering:
            – Type: volume
              Value: 18
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Journal of thoracic disease
              Type: main
ResultId 1