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Deep learning can predict cardiovascular events from liver imaging.

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Title: Deep learning can predict cardiovascular events from liver imaging.
Authors: Veldhuizen GP; Department of Medicine, Section of Hematology/Oncology, The University of Chicago, Chicago, IL, USA.; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany., Lenz T; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany., Cifci D; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany., van Treeck M; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany., Clusmann J; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany., Chen Y; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany., Schneider CV; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany., Luedde T; Clinic for Gastroenterology, Hepatology and Infectious Diseases, University Hospital Duesseldorf, Medical Faculty of Heinrich-Heine-University Dusseldorf, Dusseldorf, Germany., de Leeuw PW; Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.; Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht The Netherlands., El-Armouche A; Institute of Pharmacology and Toxicology, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany., Truhn D; Department of Diagnostic and Interventional Radiology, RWTH Aachen University Aachen, Germany., Kather JN; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.; Department of Medicine I, University Hospital Dresden, Dresden, Germany.; Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany.
Source: JHEP reports : innovation in hepatology [JHEP Rep] 2025 Apr 22; Vol. 7 (8), pp. 101427. Date of Electronic Publication: 2025 Apr 22 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier B.V Country of Publication: Netherlands NLM ID: 101761237 Publication Model: eCollection Cited Medium: Internet ISSN: 2589-5559 (Electronic) Linking ISSN: 25895559 NLM ISO Abbreviation: JHEP Rep Subsets: PubMed not MEDLINE
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  Data: Deep learning can predict cardiovascular events from liver imaging.
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  Data: <searchLink fieldCode="AU" term="%22Veldhuizen+GP%22">Veldhuizen GP</searchLink>; Department of Medicine, Section of Hematology/Oncology, The University of Chicago, Chicago, IL, USA.; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Lenz+T%22">Lenz T</searchLink>; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Cifci+D%22">Cifci D</searchLink>; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.<br /><searchLink fieldCode="AU" term="%22van+Treeck+M%22">van Treeck M</searchLink>; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.<br /><searchLink fieldCode="AU" term="%22Clusmann+J%22">Clusmann J</searchLink>; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.<br /><searchLink fieldCode="AU" term="%22Chen+Y%22">Chen Y</searchLink>; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.<br /><searchLink fieldCode="AU" term="%22Schneider+CV%22">Schneider CV</searchLink>; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.<br /><searchLink fieldCode="AU" term="%22Luedde+T%22">Luedde T</searchLink>; Clinic for Gastroenterology, Hepatology and Infectious Diseases, University Hospital Duesseldorf, Medical Faculty of Heinrich-Heine-University Dusseldorf, Dusseldorf, Germany.<br /><searchLink fieldCode="AU" term="%22de+Leeuw+PW%22">de Leeuw PW</searchLink>; Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.; Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht The Netherlands.<br /><searchLink fieldCode="AU" term="%22El-Armouche+A%22">El-Armouche A</searchLink>; Institute of Pharmacology and Toxicology, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Truhn+D%22">Truhn D</searchLink>; Department of Diagnostic and Interventional Radiology, RWTH Aachen University Aachen, Germany.<br /><searchLink fieldCode="AU" term="%22Kather+JN%22">Kather JN</searchLink>; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.; Department of Medicine I, University Hospital Dresden, Dresden, Germany.; Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany.
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  Data: <searchLink fieldCode="JN" term="%22101761237%22">JHEP reports : innovation in hepatology</searchLink> [JHEP Rep] 2025 Apr 22; Vol. 7 (8), pp. 101427. <i>Date of Electronic Publication: </i>2025 Apr 22 (<i>Print Publication: </i>2025).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+B%2EV%22">Elsevier B.V </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>101761237 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2589-5559 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225895559%22">25895559 </searchLink><i>NLM ISO Abbreviation: </i>JHEP Rep <i>Subsets: </i>PubMed not MEDLINE
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              Text: 2025 Apr 22
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