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Fully Automated Artificial Intelligence Assessment of Aortic Stenosis by Echocardiography.
Krishna, Hema; Desai, Kevin; Slostad, Brody; Bhayani, Siddharth; Arnold, Joshua H; Ouwerkerk, Wouter; Hummel, Yoran; Lam, Carolyn S P; Ezekowitz, Justin; Frost, Matthew; Jiang, Zhubo; Equilbec, Cyril; Twing, Aamir; Pellikka, Patricia A; Frazin, Leon; Kansal, Mayank.
Afiliación
  • Krishna H; Division of Cardiology, University of Illinois at Chicago, Chicago, Illinois; Jesse Brown VA Medical Center, Chicago, Illinois.
  • Desai K; Department of Medicine, University of Illinois at Chicago, Chicago, Illinois.
  • Slostad B; Bluhm Cardiovascular Institute, Northwestern University, Chicago, Illinois.
  • Bhayani S; Department of Medicine, University of Illinois at Chicago, Chicago, Illinois.
  • Arnold JH; Department of Medicine, University of Illinois at Chicago, Chicago, Illinois.
  • Ouwerkerk W; National Heart Centre Singapore, Singapore; Department of Dermatology, Amsterdam UMC, Amsterdam, Netherlands.
  • Hummel Y; Us2.ai, Singapore.
  • Lam CSP; National Heart Centre Singapore, Singapore; Duke-NUS Medical School, Singapore.
  • Ezekowitz J; Canadian VIGOUR Centre, University of Alberta, Edmonton, Alberta, Canada.
  • Frost M; Us2.ai, Singapore.
  • Jiang Z; Us2.ai, Singapore.
  • Equilbec C; Us2.ai, Singapore.
  • Twing A; Division of Cardiology, University of Illinois at Chicago, Chicago, Illinois.
  • Pellikka PA; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.
  • Frazin L; Division of Cardiology, University of Illinois at Chicago, Chicago, Illinois; Jesse Brown VA Medical Center, Chicago, Illinois.
  • Kansal M; Division of Cardiology, University of Illinois at Chicago, Chicago, Illinois; Jesse Brown VA Medical Center, Chicago, Illinois. Electronic address: mmkansal@uic.edu.
J Am Soc Echocardiogr ; 36(7): 769-777, 2023 07.
Article en En | MEDLINE | ID: mdl-36958708
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Estenosis de la Válvula Aórtica / Inteligencia Artificial Tipo de estudio: Guideline / Prognostic_studies Límite: Aged / Humans / Middle aged Idioma: En Revista: J Am Soc Echocardiogr Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Estenosis de la Válvula Aórtica / Inteligencia Artificial Tipo de estudio: Guideline / Prognostic_studies Límite: Aged / Humans / Middle aged Idioma: En Revista: J Am Soc Echocardiogr Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article