Your browser doesn't support javascript.
loading
Model for ASsessing the value of Artificial Intelligence in medical imaging (MAS-AI).
Fasterholdt, Iben; Kjølhede, Tue; Naghavi-Behzad, Mohammad; Schmidt, Thomas; Rautalammi, Quinnie T S; Hildebrandt, Malene G; Gerdes, Anne; Barkler, Astrid; Kidholm, Kristian; Rac, Valeria E; Rasmussen, Benjamin S B.
Afiliação
  • Fasterholdt I; CIMT - Centre for Innovative Medical Technology, Odense University Hospital, Odense, Denmark.
  • Kjølhede T; CIMT - Centre for Innovative Medical Technology, Odense University Hospital, Odense, Denmark.
  • Naghavi-Behzad M; Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
  • Schmidt T; Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark.
  • Rautalammi QTS; CIMT - Centre for Innovative Medical Technology, Odense University Hospital, Odense, Denmark.
  • Hildebrandt MG; Health Informatics and Technology, University of Southern Denmark, Odense, Denmark.
  • Gerdes A; Department of IT Management and Information Security, Region of Southern Denmark, Vejle, Denmark.
  • Barkler A; CIMT - Centre for Innovative Medical Technology, Odense University Hospital, Odense, Denmark.
  • Kidholm K; Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
  • Rac VE; Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark.
  • Rasmussen BSB; Department of Design and Communication, University of Southern Denmark, Kolding, Denmark.
Int J Technol Assess Health Care ; 38(1): e74, 2022 Oct 03.
Article em En | MEDLINE | ID: mdl-36189821
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Avaliação da Tecnologia Biomédica / Inteligência Artificial Tipo de estudo: Diagnostic_studies / Guideline / Health_technology_assessment / Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Avaliação da Tecnologia Biomédica / Inteligência Artificial Tipo de estudo: Diagnostic_studies / Guideline / Health_technology_assessment / Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article