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
Description
ISSN:1969-6213
DOI:10.4244/EIJ-D-25-01352