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Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70943, first published .
Laptop screen displaying medical scans of human skeleton, brain, and heart with data

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

Zixiang Ye   1, 2, 3 , MD ;   Zhangyu Lin   1, 2, 3 , MD ;   Enmin Xie   1, 2, 3 , MD ;   Chenxi Song   1, 2, 3 , MD ;   Rui Zhang   1, 2, 3 , MD ;   Hao-Yu Wang   1, 2, 3 , MD ;   Shanshan Shi   1, 2, 3 , MD ;   Lei Feng   1, 2, 3 * , MD ;   Kefei Dou   1, 2, 3 * , MD

1 Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China

2 State Key Laboratory of Cardiovascular Disease, Beijing, China

3 Cardiometabolic Medicine Center, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Kefei Dou, MD
  • Department of Cardiology
  • Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College
  • No 167 North Lishi Road, Xicheng District
  • Beijing 100037
  • China
  • Phone: 86 88398866
  • Email: drdoukefei@126.com