This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1953) Machine Learning (2121) Coronary Heart Disease (109) Decision Support for Health Professionals (1563) Artificial Intelligence (2185) Cardiac Diagnostics (31)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70943, first published .
Prediction of Percutaneous Coronary Intervention Success in Patients With Moderate to Severe Coronary Artery Calcification Using Machine Learning Based on Coronary Angiography: Prospective Cohort Study

Prediction of Percutaneous Coronary Intervention Success in Patients With Moderate to Severe Coronary Artery Calcification Using Machine Learning Based on Coronary Angiography: Prospective Cohort Study

Prediction of Percutaneous Coronary Intervention Success in Patients With Moderate to Severe Coronary Artery Calcification Using Machine Learning Based on Coronary Angiography: Prospective Cohort Study

Authors of this article:

Zixiang Ye1, 2, 3 Author Orcid Image ;   Zhangyu Lin1, 2, 3 Author Orcid Image ;   Enmin Xie1, 2, 3 Author Orcid Image ;   Chenxi Song1, 2, 3 Author Orcid Image ;   Rui Zhang1, 2, 3 Author Orcid Image ;   Hao-Yu Wang1, 2, 3 Author Orcid Image ;   Shanshan Shi1, 2, 3 Author Orcid Image ;   Lei Feng1, 2, 3 Author Orcid Image ;   Kefei Dou1, 2, 3 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Zepeda-Lugo C, Sanchez-Lizarraga M, Insfran-Rivarola A, Arévalos A. Effectiveness of AI Models for Cardiovascular Disease Diagnosis: A Systematic Review and Meta-analysis. Revista de Investigación e Innovación en Ciencias de la Salud 2025;8(1):1 View