Machine Learning for Outcome Prediction after Percutaneous Coronary Intervention: A Systematic Review and Meta-Analysis of SPECT and CCTA Imaging Models

Publication Details

Journal
OSF Preprints (OSF Preprints)
Published
2025-01-01
DOI
https://doi.org/10.17605/osf.io/72h6f
Primary Topic
Coronary Interventions and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine Learning for Outcome Prediction after Percutaneous Coronary Intervention: A Systematic Review and Meta-Analysis of SPECT and CCTA Imaging Models

OSF Preprints (OSF Preprints)
Coronary Interventions and Diagnostics
article

Machine Learning for Outcome Prediction after Percutaneous Coronary Intervention: A Systematic Review and Meta-Analysis of SPECT and CCTA Imaging Models

article en

Abstract

No abstract available for this paper.
OSF Preprints (OSF Preprints)
Openalex Percentile: Top 39%
Coronary Interventions and Diagnostics
DOIOpen Access PDFOpenAlex
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Machine Learning for Outcome Prediction after Percutaneous Coronary Intervention: A Systematic Review and Meta-Analysis of SPECT and CCTA Imaging Models · OSF Preprints (OSF Preprints) (2025) | TGRS Research Map | TGRS