Health & Medicinereview2026-08-05

Reproducible analysis and structured dataset for "Toward clinical-grade deep learning in coronary angiography: a systematic review"

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Abstract

This record contains the structured dataset and analysis code accompanying the systematic review "Toward clinical-grade deep learning in coronary angiography". The dataset comprises extracted study characteristics and quality appraisal results for the included studies, together with the search strategies and screening records documenting the selection process. The accompanying code reproduces the analyses and figures reported in the review. Data extraction and quality appraisal were carried out with PaperMole (https://doi.org/10.5281/zenodo.21808119). Data are released under CC-BY-4.0, code under MIT.

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View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-08-05

Authors: Christian Goelz, Lauren Sams, Valentine Ojonugwa Idakwo, Paulina Moehrle, Luisa Freyer, Konstantinos Rizas, Solveig Vieluf

Institutions: Ludwig-Maximilians-Universität München, German Centre for Cardiovascular Research, LMU Klinikum, Kantonsspital St. Gallen, Quality and Reliability (Greece)