Multimodal Visualization and Explainable Machine Learning–Driven Markers Enable Early Identification and Prognosis Prediction for Symptomatic Aortic Stenosis and Heart Failure With Preserved Ejection Fraction After Transcatheter Aortic Valve Replacement: Multicenter Cohort Study

Jun Wang   ^{1, 2, 3 *} , MD ;   Jiajun Zhu   ^{4 *} , MD ;   Hui Li   ^{1 *} , MD ;   Shili Wu   ^{1, 5 *} , MD ;   Siyang Li   ⁶ , MD ;   Zhuoya Yao   ¹ , MD ;   Tongjian Zhu   ^{6 *} , MD ;   Bi Tang   ^{1, 2, 3 *} , MD ;   Shengxing Tang   ^{7 *} , MD ;   Jinjun Liu   ^{1, 2, 3 *} , MD

¹ Department of Cardiology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China

² Joint Research Center for Regional Diseases of IHM, Bengbu Medical University, Bengbu, China

³ Joint Research Center for Regional Diseases of IHM, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China

⁴ Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumchi, China

⁵ Department of Cardiology, The People’s Hospital of Bozhou, Bozhou, China

⁶ Department of Cardiology, Xiangyang Central Hospital, Xiangyang, China

⁷ Department of Cardiology, First Affiliated Hospital of Wannan Medical College, Wuhu, China

*these authors contributed equally