Developing approaches to incorporate donor-lung computed tomography images into machine learning models to predict severe primary graft dysfunction after lung transplantation.

Saved in:
Bibliographic Details
Title: Developing approaches to incorporate donor-lung computed tomography images into machine learning models to predict severe primary graft dysfunction after lung transplantation.
Authors: Ma W; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA., Oh I; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA., Luo Y; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA., Kumar S; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA., Gupta A; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA; Division of Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA., Lai AM; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA., Puri V; Department of Surgery, Washington University School of Medicine, Saint Louis, Missouri, USA., Kreisel D; Department of Surgery, Washington University School of Medicine, Saint Louis, Missouri, USA., Gelman AE; Department of Surgery, Washington University School of Medicine, Saint Louis, Missouri, USA., Nava R; Department of Surgery, Washington University School of Medicine, Saint Louis, Missouri, USA., Witt CA; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University School of Medicine, Saint Louis, Missouri, USA., Byers DE; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University School of Medicine, Saint Louis, Missouri, USA., Halverson L; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University School of Medicine, Saint Louis, Missouri, USA., Vazquez-Guillamet R; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University School of Medicine, Saint Louis, Missouri, USA., Payne PRO; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA., Sotiras A; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA; Department of Radiology, Washington University School of Medicine, Saint Louis, Missouri, USA., Lu H; Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA., Niazi K; Department of Pathology, The Ohio State University, Columbus, OH, USA., Gurcan MN; Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA., Hachem RR; Division of Respiratory, Critical Care, and Occupational Pulmonary Medicine, University of Utah, Salt Lake City, Utah, USA., Michelson AP; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University School of Medicine, Saint Louis, Missouri, USA. Electronic address: amichels@wustl.edu.
Source: American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons [Am J Transplant] 2025 Jun; Vol. 25 (6), pp. 1339-1349. Date of Electronic Publication: 2025 Feb 07.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 100968638 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1600-6143 (Electronic) Linking ISSN: 16006135 NLM ISO Abbreviation: Am J Transplant Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 39924113
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Developing approaches to incorporate donor-lung computed tomography images into machine learning models to predict severe primary graft dysfunction after lung transplantation.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Ma+W%22">Ma W</searchLink>; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Oh+I%22">Oh I</searchLink>; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Luo+Y%22">Luo Y</searchLink>; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Kumar+S%22">Kumar S</searchLink>; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Gupta+A%22">Gupta A</searchLink>; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA; Division of Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Lai+AM%22">Lai AM</searchLink>; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Puri+V%22">Puri V</searchLink>; Department of Surgery, Washington University School of Medicine, Saint Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Kreisel+D%22">Kreisel D</searchLink>; Department of Surgery, Washington University School of Medicine, Saint Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Gelman+AE%22">Gelman AE</searchLink>; Department of Surgery, Washington University School of Medicine, Saint Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Nava+R%22">Nava R</searchLink>; Department of Surgery, Washington University School of Medicine, Saint Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Witt+CA%22">Witt CA</searchLink>; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University School of Medicine, Saint Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Byers+DE%22">Byers DE</searchLink>; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University School of Medicine, Saint Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Halverson+L%22">Halverson L</searchLink>; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University School of Medicine, Saint Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Vazquez-Guillamet+R%22">Vazquez-Guillamet R</searchLink>; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University School of Medicine, Saint Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Payne+PRO%22">Payne PRO</searchLink>; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Sotiras+A%22">Sotiras A</searchLink>; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA; Department of Radiology, Washington University School of Medicine, Saint Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Lu+H%22">Lu H</searchLink>; Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Niazi+K%22">Niazi K</searchLink>; Department of Pathology, The Ohio State University, Columbus, OH, USA.<br /><searchLink fieldCode="AU" term="%22Gurcan+MN%22">Gurcan MN</searchLink>; Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Hachem+RR%22">Hachem RR</searchLink>; Division of Respiratory, Critical Care, and Occupational Pulmonary Medicine, University of Utah, Salt Lake City, Utah, USA.<br /><searchLink fieldCode="AU" term="%22Michelson+AP%22">Michelson AP</searchLink>; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University School of Medicine, Saint Louis, Missouri, USA. Electronic address: amichels@wustl.edu.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22100968638%22">American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons</searchLink> [Am J Transplant] 2025 Jun; Vol. 25 (6), pp. 1339-1349. <i>Date of Electronic Publication: </i>2025 Feb 07.
– 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="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>100968638 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1600-6143 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216006135%22">16006135 </searchLink><i>NLM ISO Abbreviation: </i>Am J Transplant <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39924113
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.ajt.2025.01.039
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 1339
    Titles:
      – TitleFull: Developing approaches to incorporate donor-lung computed tomography images into machine learning models to predict severe primary graft dysfunction after lung transplantation.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ma W
      – PersonEntity:
          Name:
            NameFull: Oh I
      – PersonEntity:
          Name:
            NameFull: Luo Y
      – PersonEntity:
          Name:
            NameFull: Kumar S
      – PersonEntity:
          Name:
            NameFull: Gupta A
      – PersonEntity:
          Name:
            NameFull: Lai AM
      – PersonEntity:
          Name:
            NameFull: Puri V
      – PersonEntity:
          Name:
            NameFull: Kreisel D
      – PersonEntity:
          Name:
            NameFull: Gelman AE
      – PersonEntity:
          Name:
            NameFull: Nava R
      – PersonEntity:
          Name:
            NameFull: Witt CA
      – PersonEntity:
          Name:
            NameFull: Byers DE
      – PersonEntity:
          Name:
            NameFull: Halverson L
      – PersonEntity:
          Name:
            NameFull: Vazquez-Guillamet R
      – PersonEntity:
          Name:
            NameFull: Payne PRO
      – PersonEntity:
          Name:
            NameFull: Sotiras A
      – PersonEntity:
          Name:
            NameFull: Lu H
      – PersonEntity:
          Name:
            NameFull: Niazi K
      – PersonEntity:
          Name:
            NameFull: Gurcan MN
      – PersonEntity:
          Name:
            NameFull: Hachem RR
      – PersonEntity:
          Name:
            NameFull: Michelson AP
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: 2025 Jun
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1600-6143
          Numbering:
            – Type: volume
              Value: 25
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons
              Type: main
ResultId 1