Your browser doesn't support javascript.
loading
Interoperator reliability of an on-site machine learning-based prototype to estimate CT angiography-derived fractional flow reserve.
Han, Yushui; Ahmed, Ahmed Ibrahim; Schwemmer, Chris; Cocker, Myra; Alnabelsi, Talal S; Saad, Jean Michel; Ramirez Giraldo, Juan C; Al-Mallah, Mouaz H.
  • Han Y; Debakey Heart & Vascular Center, Houston Methodist Hospital, Houston, Texas, USA.
  • Ahmed AI; Debakey Heart & Vascular Center, Houston Methodist Hospital, Houston, Texas, USA.
  • Schwemmer C; Computed Tomography-Research & Development, Siemens Healthcare GmbH, Erlangen, Bayern, Germany.
  • Cocker M; Computed Tomography-Research Collaborations, Siemens Healthcare USA, Malvern, Pennsylvania, USA.
  • Alnabelsi TS; Debakey Heart & Vascular Center, Houston Methodist Hospital, Houston, Texas, USA.
  • Saad JM; Debakey Heart & Vascular Center, Houston Methodist Hospital, Houston, Texas, USA.
  • Ramirez Giraldo JC; Computed Tomography-Research Collaborations, Siemens Healthcare USA, Malvern, Pennsylvania, USA.
  • Al-Mallah MH; Debakey Heart & Vascular Center, Houston Methodist Hospital, Houston, Texas, USA mal-mallah@houstonmethodist.org.
Open Heart ; 9(1)2022 03.
Article en En | MEDLINE | ID: mdl-35314508

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Estenosis Coronaria / Reserva del Flujo Fraccional Miocárdico Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Estenosis Coronaria / Reserva del Flujo Fraccional Miocárdico Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article