Enhancing Prognostic Accuracy in Chronic Total Occlusion: Opportunities and Challenges of Machine Learning-Based
1Cardiovascular Research Institute for Intractable Disease, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Korean Circulation Journal
|July 30, 2025
Abstract
No abstract available in PubMed .
More Related Videos
07:25Predicting Amputation using Local Circulating Mononuclear Progenitor Cells in Angioplasty-treated Patients with Critical Limb Ischemia
Published on: September 22, 2020
3.5K
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025
194
