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Kangyin Chen on Muck Rack

Kangyin Chen

As seen in: Nature, MDPI, Dialnet - Universidad de La Rioja
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Articles

Fine-tuning an ECG foundation model to predict coronary CT angiography outcomes

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By Yujie Xiao, Qinghao Zhao, Hao Zhang, Deyun Zhang, Jun Li, Guangkun Nie, Haoyu Wang, Shun Huang, tong liu, Jian Liu, Kangyin Chen, Shenda Hong, Gongzheng Tang, Zhuoran Kan, Xiaocheng Fang
| Nature Verified
Abstract Coronary artery disease (CAD) remains a major global public health burden, yet scalable pre-imaging risk stratification tools are limited. In this multicenter study, we developed and validated an artificial intelligence-enabled electrocardiography (AI-ECG) model using coronary computed tomographic angiography (CCTA) as the anatomical reference to predict vessel-specific hemodynamically significant stenosis (≥70% for RCA, LAD, LCX; ≥50% for LM).
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The Combination Effect of the Red Blood Cell Distribution Width and Prognostic Nutrition Index on the Prognosis in Patients Undergoing PCI

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By Wenjuan Zhao, Xiang Ji, Kangyin Chen, Likun Huo
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Application of 3.0t high-resolution magnetic resonance imaging for the diagnosis of stenotic vessel wall plaques in the middle cerebral artery: A study on fitness of professional athletes

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By Ning Yang, Weixiong Mai-, Bowen Lan, Kangyin Chen
| Dialnet - Universidad de La Rioja
Application of 3.0t high-resolution magnetic resonance imaging for the diagnosis of stenotic vessel wall plaques in the middle cerebral artery: A study on fitness of professional athletes Weiqiong Ma [1] ; Bowen Lan [1] ; Kangyin Chen [1] ; Ning Yang [2] ; Guihua Jiang [2] [1] Huizhou Central People’s Hospital [2] Provincial General Hospital Localización: Revista Internacional de Medicina y Ciencias de la Actividad Física y del Deporte, ISSN-e 1577-0354, Nº. 23, 90, 2023, págs.
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