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Artificial intelligence application in vascular diseases.
Spanos, Konstantinos; Giannoukas, Athanasios D; Kouvelos, George; Tsougos, Ioannis; Mavroforou, Anna.
Afiliación
  • Spanos K; Department of Vascular Surgery, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece. Electronic address: spanos.kon@gmail.com.
  • Giannoukas AD; Department of Vascular Surgery, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece.
  • Kouvelos G; Department of Vascular Surgery, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece.
  • Tsougos I; Department of Medical Physics and Informatics, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece.
  • Mavroforou A; Deontology and Bioethics Laboratory, Faculty of Nursing, School of Health Sciences, University of Thessaly, Larissa, Greece.
J Vasc Surg ; 76(3): 615-619, 2022 09.
Article en En | MEDLINE | ID: mdl-35661694
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades Vasculares / Inteligencia Artificial Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: J Vasc Surg Asunto de la revista: ANGIOLOGIA Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades Vasculares / Inteligencia Artificial Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: J Vasc Surg Asunto de la revista: ANGIOLOGIA Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos