View in EDS

Employment of artificial intelligence for early lung cancer diagnosis: a retrospective cohort study.

Saved in:
Bibliographic Details
Title: Employment of artificial intelligence for early lung cancer diagnosis: a retrospective cohort study.
Authors: Hill NR; Bristol-Myers Squibb Co R&D Lawrenceville, Lawrenceville, New Jersey, USA., Dotson T; Pulmonary/Critical Care, Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina, USA., Maus SE; Pulmonary/Critical Care, Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina, USA., Bellinger C; Pulmonary/Critical Care, Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina, USA., Mehta V; Comprehensive Cancer Centers of Nevada, Henderson, Nevada, USA., Rings A; Optellum Ltd, Oxford, UK annika.rings@optellum.com., Pickup LC; Optellum Ltd, Oxford, UK., Waterfield Price N; Optellum Ltd, Oxford, UK., Potěšil V; Optellum Ltd, Oxford, UK., Carbone DP; The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA., Pannu J; The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
Source: BMJ open respiratory research [BMJ Open Respir Res] 2025 Nov 17; Vol. 12 (1). Date of Electronic Publication: 2025 Nov 17.
Publication Type: Journal Article
Journal Info: Publisher: BMJ Publishing Group Ltd & British Thoracic Society Country of Publication: England NLM ID: 101638061 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4439 (Electronic) Linking ISSN: 20524439 NLM ISO Abbreviation: BMJ Open Respir Res Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41253411
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Employment of artificial intelligence for early lung cancer diagnosis: a retrospective cohort study.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Hill+NR%22">Hill NR</searchLink>; Bristol-Myers Squibb Co R&D Lawrenceville, Lawrenceville, New Jersey, USA.<br /><searchLink fieldCode="AU" term="%22Dotson+T%22">Dotson T</searchLink>; Pulmonary/Critical Care, Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Maus+SE%22">Maus SE</searchLink>; Pulmonary/Critical Care, Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Bellinger+C%22">Bellinger C</searchLink>; Pulmonary/Critical Care, Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Mehta+V%22">Mehta V</searchLink>; Comprehensive Cancer Centers of Nevada, Henderson, Nevada, USA.<br /><searchLink fieldCode="AU" term="%22Rings+A%22">Rings A</searchLink>; Optellum Ltd, Oxford, UK annika.rings@optellum.com.<br /><searchLink fieldCode="AU" term="%22Pickup+LC%22">Pickup LC</searchLink>; Optellum Ltd, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Waterfield+Price+N%22">Waterfield Price N</searchLink>; Optellum Ltd, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Potěšil+V%22">Potěšil V</searchLink>; Optellum Ltd, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Carbone+DP%22">Carbone DP</searchLink>; The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA.<br /><searchLink fieldCode="AU" term="%22Pannu+J%22">Pannu J</searchLink>; The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101638061%22">BMJ open respiratory research</searchLink> [BMJ Open Respir Res] 2025 Nov 17; Vol. 12 (1). <i>Date of Electronic Publication: </i>2025 Nov 17.
– 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="%22BMJ+Publishing+Group+Ltd+%26+British+Thoracic+Society%22">BMJ Publishing Group Ltd & British Thoracic Society </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101638061 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2052-4439 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220524439%22">20524439 </searchLink><i>NLM ISO Abbreviation: </i>BMJ Open Respir Res <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41253411
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1136/bmjresp-2025-003225
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: Employment of artificial intelligence for early lung cancer diagnosis: a retrospective cohort study.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Hill NR
      – PersonEntity:
          Name:
            NameFull: Dotson T
      – PersonEntity:
          Name:
            NameFull: Maus SE
      – PersonEntity:
          Name:
            NameFull: Bellinger C
      – PersonEntity:
          Name:
            NameFull: Mehta V
      – PersonEntity:
          Name:
            NameFull: Rings A
      – PersonEntity:
          Name:
            NameFull: Pickup LC
      – PersonEntity:
          Name:
            NameFull: Waterfield Price N
      – PersonEntity:
          Name:
            NameFull: Potěšil V
      – PersonEntity:
          Name:
            NameFull: Carbone DP
      – PersonEntity:
          Name:
            NameFull: Pannu J
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 17
              M: 11
              Text: 2025 Nov 17
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 2052-4439
          Numbering:
            – Type: volume
              Value: 12
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: BMJ open respiratory research
              Type: main
ResultId 1