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Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordings.
Taskén, Anders Austlid; Berg, Erik Andreas Rye; Grenne, Bjørnar; Holte, Espen; Dalen, Håvard; Stølen, Stian; Lindseth, Frank; Aakhus, Svend; Kiss, Gabriel.
Afiliação
  • Taskén AA; Department of Computer Science, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, Høgskoleringen 1, 7491 Trondheim, Norway. Electronic address: anders.a.tasken@ntnu.no.
  • Berg EAR; Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Norway; Clinic of Cardiology, St. Olavs University Hospital, Trondheim, Norway. Electronic address: erik.a.berg@ntnu.no.
  • Grenne B; Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Norway; Clinic of Cardiology, St. Olavs University Hospital, Trondheim, Norway. Electronic address: bjornar.grenne@ntnu.no.
  • Holte E; Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Norway; Clinic of Cardiology, St. Olavs University Hospital, Trondheim, Norway. Electronic address: espen.holte@ntnu.no.
  • Dalen H; Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Norway; Clinic of Cardiology, St. Olavs University Hospital, Trondheim, Norway; Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway. Electronic addre
  • Stølen S; Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Norway; Clinic of Cardiology, St. Olavs University Hospital, Trondheim, Norway. Electronic address: stian.stolen@ntnu.no.
  • Lindseth F; Department of Computer Science, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, Høgskoleringen 1, 7491 Trondheim, Norway. Electronic address: frankl@ntnu.no.
  • Aakhus S; Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Norway; Clinic of Cardiology, St. Olavs University Hospital, Trondheim, Norway. Electronic address: svend.aakhus@ntnu.no.
  • Kiss G; Department of Computer Science, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, Høgskoleringen 1, 7491 Trondheim, Norway. Electronic address: gabriel.kiss@ntnu.no.
Artif Intell Med ; 144: 102646, 2023 10.
Article em En | MEDLINE | ID: mdl-37783546
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Valva Mitral Tipo de estudo: Diagnostic_studies / Guideline / Qualitative_research / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Valva Mitral Tipo de estudo: Diagnostic_studies / Guideline / Qualitative_research / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article