Digital twin-enabled cardiovascular stent optimization: a virtual reality-driven approach to mitigate angioplasty-related deformations.

Detalles Bibliográficos
Publicado en:Medical & Biological Engineering & Computing Vol. 63; no. 9; pp. 2665 - 2679
Autores principales: Wang, Juanyi, Zhang, Yi, Yang, Yang, Wen, Xiao, Xing, Xiaodong, Zhang, Zhiyong, Dong, Chen
Formato: Journal Article
Publicado: Springer Nature Sep2025
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=187673847&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 187673847
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01400118
        PO0
      jtl: Medical & Biological Engineering & Computing
      issn: 01400118
      maglogo: N
    pubinfo:
      dt: Sep2025
      vid: 63
      iid: 9
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        187673847
        184004136
        10.1007/s11517-025-03352-8
        187673847
      ppf: 2665
      ppct: 14
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Digital twin-enabled cardiovascular stent optimization: a virtual reality-driven approach to mitigate angioplasty-related deformations.
      aug:
        au:
          Wang, Juanyi
          Zhang, Yi
          Yang, Yang
          Wen, Xiao
          Xing, Xiaodong
          Zhang, Zhiyong
          Dong, Chen
        affil: https://ror.org/026b4k258 Laboratory of Virtual Reality and Simulation Technology, Department of Health Services and Management, Shandong Sport University, 250102, Jinan, China
      sug:
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N