Developing approaches to incorporate donor-lung computed tomography images into machine learning models to predict severe primary graft dysfunction after lung transplantation.
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| Title: | Developing approaches to incorporate donor-lung computed tomography images into machine learning models to predict severe primary graft dysfunction after lung transplantation. |
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| 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 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39924113 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| 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 |
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