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Between withdrawal and death: Can machine learning improve donation after circulatory death utilization?

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Title: Between withdrawal and death: Can machine learning improve donation after circulatory death utilization?
Authors: Lerman JB; Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC., DeVore AD; Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC. Electronic address: adam.devore@duke.edu.
Source: The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation [J Heart Lung Transplant] 2026 May 01. Date of Electronic Publication: 2026 May 01.
Publication Type: Editorial
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 9102703 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1557-3117 (Electronic) Linking ISSN: 10532498 NLM ISO Abbreviation: J Heart Lung Transplant Subsets: MEDLINE
Database: MEDLINE Ultimate
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PubType: Editorial & Opinion
PubTypeId: editorialOpinion
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  Data: Between withdrawal and death: Can machine learning improve donation after circulatory death utilization?
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  Data: <searchLink fieldCode="AU" term="%22Lerman+JB%22">Lerman JB</searchLink>; Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC.<br /><searchLink fieldCode="AU" term="%22DeVore+AD%22">DeVore AD</searchLink>; Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC. Electronic address: adam.devore@duke.edu.
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  Data: <searchLink fieldCode="JN" term="%229102703%22">The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation</searchLink> [J Heart Lung Transplant] 2026 May 01. <i>Date of Electronic Publication: </i>2026 May 01.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9102703 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1557-3117 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210532498%22">10532498 </searchLink><i>NLM ISO Abbreviation: </i>J Heart Lung Transplant <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42070725
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.healun.2026.04.029
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      – Code: eng
        Text: English
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      – TitleFull: Between withdrawal and death: Can machine learning improve donation after circulatory death utilization?
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            NameFull: Lerman JB
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            NameFull: DeVore AD
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            – D: 01
              M: 05
              Text: 2026 May 01
              Type: published
              Y: 2026
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            – TitleFull: The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
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