Transcatheter Aortic Valve Replacement and Coronary Protection Guided by Deep Learning and 3-Dimensional Printing.

Journal: Surgical innovation
PMID: 38565982

Abstract

OBJECTIVE: In this case report, the auxiliary role of deep learning and 3-dimensional printing technology in the perioperative period was discussed to guide transcatheter aortic valve replacement and coronary stent implantation simultaneously.

Authors

  • Yu Mao
    Department of Radiology, The Affiliated Hospital of Southwest Medical University, No. 23 Tai Ping Street, Luzhou, 646000, Sichuan, China.
  • Guangyu Zhu
    Department of Computer Science and Statistics, University of Rhode Island, United States of America. Electronic address: guangyuzhu@uri.edu.
  • Mengen Zhai
    Department of Cardiovascular Surgery, Xijing Hospital, Air Force Medical University, Xi'an, China.
  • Yanyan Ma
    Department of Cardiovascular Surgery, Xijing Hospital, Air Force Medical University, Xi'an, China.
  • Lanlan Li
    Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China.
  • Ping Jin
    Department of Obstetrics and Gynecology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Yang Liu
    Department of Computer Science, Hong Kong Baptist University, Hong Kong, China.
  • Jian Yang
    Drug Discovery and Development Research Group, College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK, Canada.

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