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Derivation and external validation of a deep learning model to predict changes in coronary plaque burden.

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Title: Derivation and external validation of a deep learning model to predict changes in coronary plaque burden.
Authors: García-García HM; Interventional Cardiology Department, MedStar Washington Hospital Center, Washington, D.C., USA., Bulant CA; Instituto Pladema, Universidad Nacional del Centro de la Provincia de Buenos Aires (UNICEN), Tandil, Argentina.; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Tandil, Argentina., Boroni GA; Instituto Pladema, Universidad Nacional del Centro de la Provincia de Buenos Aires (UNICEN), Tandil, Argentina.; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Tandil, Argentina., Clausse A; Instituto Pladema, Universidad Nacional del Centro de la Provincia de Buenos Aires (UNICEN), Tandil, Argentina.; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Tandil, Argentina., Engstrøm T; Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark., Lemos PA; Hospital Israelita Albert Einstein, São Paulo, Brazil.; Faculty of Health Sciences, Universidad Autónoma de Chile, Providencia, Chile., Lecaros Yap NA; Device and Innovation Centre, William Harvey Research Institute, Queen Mary University London, London, United Kingdom., Cap M; Device and Innovation Centre, William Harvey Research Institute, Queen Mary University London, London, United Kingdom., Iglesias JF; Department of Cardiology, Geneva University Hospitals, Geneva, Switzerland., Geuns RV; Department of Cardiology, Radboud UMC, Nijmegen, the Netherlands., Lang IM; Department of Cardiology, Medical University of Vienna, Vienna, Austria., Spirk D; Department of Pharmacology, Bern University Hospital, Bern, Switzerland.; Sanofi, Geneva, Switzerland., Häner JD; Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland., Koskinas KC; Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland., Kakizaki R; Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland., Ueki Y; Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland., Siontis GCM; Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland., Bourantas CV; Device and Innovation Centre, William Harvey Research Institute, Queen Mary University London, London, United Kingdom., Blanco PJ; National Laboratory for Scientific Computing, LNCC/ MCTI, Petrópolis, RJ, Brazil., Räber L; Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Source: EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology [EuroIntervention] 2026 May 04; Vol. 22 (9), pp. e499-e507. Date of Electronic Publication: 2026 May 04.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: Société Europa édition Country of Publication: France NLM ID: 101251040 Publication Model: Electronic Cited Medium: Internet ISSN: 1969-6213 (Electronic) Linking ISSN: 1774024X NLM ISO Abbreviation: EuroIntervention Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Derivation and external validation of a deep learning model to predict changes in coronary plaque burden.
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  Data: <searchLink fieldCode="AU" term="%22García-García+HM%22">García-García HM</searchLink>; Interventional Cardiology Department, MedStar Washington Hospital Center, Washington, D.C., USA.<br /><searchLink fieldCode="AU" term="%22Bulant+CA%22">Bulant CA</searchLink>; Instituto Pladema, Universidad Nacional del Centro de la Provincia de Buenos Aires (UNICEN), Tandil, Argentina.; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Tandil, Argentina.<br /><searchLink fieldCode="AU" term="%22Boroni+GA%22">Boroni GA</searchLink>; Instituto Pladema, Universidad Nacional del Centro de la Provincia de Buenos Aires (UNICEN), Tandil, Argentina.; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Tandil, Argentina.<br /><searchLink fieldCode="AU" term="%22Clausse+A%22">Clausse A</searchLink>; Instituto Pladema, Universidad Nacional del Centro de la Provincia de Buenos Aires (UNICEN), Tandil, Argentina.; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Tandil, Argentina.<br /><searchLink fieldCode="AU" term="%22Engstrøm+T%22">Engstrøm T</searchLink>; Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Lemos+PA%22">Lemos PA</searchLink>; Hospital Israelita Albert Einstein, São Paulo, Brazil.; Faculty of Health Sciences, Universidad Autónoma de Chile, Providencia, Chile.<br /><searchLink fieldCode="AU" term="%22Lecaros+Yap+NA%22">Lecaros Yap NA</searchLink>; Device and Innovation Centre, William Harvey Research Institute, Queen Mary University London, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Cap+M%22">Cap M</searchLink>; Device and Innovation Centre, William Harvey Research Institute, Queen Mary University London, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Iglesias+JF%22">Iglesias JF</searchLink>; Department of Cardiology, Geneva University Hospitals, Geneva, Switzerland.<br /><searchLink fieldCode="AU" term="%22Geuns+RV%22">Geuns RV</searchLink>; Department of Cardiology, Radboud UMC, Nijmegen, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Lang+IM%22">Lang IM</searchLink>; Department of Cardiology, Medical University of Vienna, Vienna, Austria.<br /><searchLink fieldCode="AU" term="%22Spirk+D%22">Spirk D</searchLink>; Department of Pharmacology, Bern University Hospital, Bern, Switzerland.; Sanofi, Geneva, Switzerland.<br /><searchLink fieldCode="AU" term="%22Häner+JD%22">Häner JD</searchLink>; Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.<br /><searchLink fieldCode="AU" term="%22Koskinas+KC%22">Koskinas KC</searchLink>; Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.<br /><searchLink fieldCode="AU" term="%22Kakizaki+R%22">Kakizaki R</searchLink>; Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.<br /><searchLink fieldCode="AU" term="%22Ueki+Y%22">Ueki Y</searchLink>; Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.<br /><searchLink fieldCode="AU" term="%22Siontis+GCM%22">Siontis GCM</searchLink>; Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.<br /><searchLink fieldCode="AU" term="%22Bourantas+CV%22">Bourantas CV</searchLink>; Device and Innovation Centre, William Harvey Research Institute, Queen Mary University London, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Blanco+PJ%22">Blanco PJ</searchLink>; National Laboratory for Scientific Computing, LNCC/ MCTI, Petrópolis, RJ, Brazil.<br /><searchLink fieldCode="AU" term="%22Räber+L%22">Räber L</searchLink>; Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
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  Data: <searchLink fieldCode="JN" term="%22101251040%22">EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology</searchLink> [EuroIntervention] 2026 May 04; Vol. 22 (9), pp. e499-e507. <i>Date of Electronic Publication: </i>2026 May 04.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Société+Europa+édition%22">Société Europa édition </searchLink><i>Country of Publication: </i>France <i>NLM ID: </i>101251040 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1969-6213 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221774024X%22">1774024X </searchLink><i>NLM ISO Abbreviation: </i>EuroIntervention <i>Subsets: </i>MEDLINE
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