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Artificial intelligence in cardiac computed tomography.
Aromiwura, Afolasayo A; Settle, Tyler; Umer, Muhammad; Joshi, Jonathan; Shotwell, Matthew; Mattumpuram, Jishanth; Vorla, Mounica; Sztukowska, Maryta; Contractor, Sohail; Amini, Amir; Kalra, Dinesh K.
Afiliación
  • Aromiwura AA; Department of Medicine, University of Louisville, Louisville, KY, USA.
  • Settle T; Medical Imaging Laboratory, Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA.
  • Umer M; Division of Cardiology, Department of Medicine, University of Louisville, Louisville, KY, USA.
  • Joshi J; Center for Artificial Intelligence in Radiological Sciences (CAIRS), Department of Radiology, University of Louisville, Louisville, KY, USA.
  • Shotwell M; Division of Cardiology, Department of Medicine, University of Louisville, Louisville, KY, USA.
  • Mattumpuram J; Division of Cardiology, Department of Medicine, University of Louisville, Louisville, KY, USA.
  • Vorla M; Division of Cardiology, Department of Medicine, University of Louisville, Louisville, KY, USA.
  • Sztukowska M; Clinical Trials Unit, University of Louisville, Louisville, KY, USA; University of Information Technology and Management, Rzeszow, Poland.
  • Contractor S; Center for Artificial Intelligence in Radiological Sciences (CAIRS), Department of Radiology, University of Louisville, Louisville, KY, USA.
  • Amini A; Medical Imaging Laboratory, Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA; Center for Artificial Intelligence in Radiological Sciences (CAIRS), Department of Radiology, University of Louisville, Louisville, KY, USA.
  • Kalra DK; Division of Cardiology, Department of Medicine, University of Louisville, Louisville, KY, USA; Center for Artificial Intelligence in Radiological Sciences (CAIRS), Department of Radiology, University of Louisville, Louisville, KY, USA. Electronic address: dinesh.kalra@louisville.edu.
Prog Cardiovasc Dis ; 81: 54-77, 2023.
Article en En | MEDLINE | ID: mdl-37689230
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Reserva del Flujo Fraccional Miocárdico Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Prog Cardiovasc Dis Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Reserva del Flujo Fraccional Miocárdico Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Prog Cardiovasc Dis Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos