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The importance of developing multiparametric prognostic scores to stratify coronary risk by means of artificial intelligence.

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Bibliographic Details
Title: The importance of developing multiparametric prognostic scores to stratify coronary risk by means of artificial intelligence.
Authors: Romero-Farina G; Nuclear Medicine DepartmentVall d'Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, Spain. guiromfar@gmail.com.; Cardiology Department, Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, Spain. guiromfar@gmail.com.; Cardiology Department, Consorci Sanitari de l'Alt Penedès i Garraf (CSAPG), Barcelona, Spain. guiromfar@gmail.com.; Centro de investigación biomédica en red: enfermedades cardiovasculares (CIBER-CV), Barcelona, Spain. guiromfar@gmail.com.; Vall d'Hebron Research Institute (VHIR), Barcelona, Spain. guiromfar@gmail.com., Aguadé-Bruix S; Nuclear Medicine DepartmentVall d'Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, Spain.; Grup d'imatge mèdica molecular (GRIMM), Barcelona, Spain., Cooke CD; Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA.; Syntermed, Inc., Atlanta, GA, USA., Garcia EV; Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA.; Syntermed, Inc., Atlanta, GA, USA.
Source: European journal of nuclear medicine and molecular imaging [Eur J Nucl Med Mol Imaging] 2026 Jan; Vol. 53 (2), pp. 1117-1124. Date of Electronic Publication: 2025 Aug 29.
Publication Type: Editorial
Journal Info: Publisher: Springer-Verlag Berlin Country of Publication: Germany NLM ID: 101140988 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1619-7089 (Electronic) Linking ISSN: 16197070 NLM ISO Abbreviation: Eur J Nucl Med Mol Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1619-7089
DOI:10.1007/s00259-025-07510-w