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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.
Affiliation
  • 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 in En | MEDLINE | ID: mdl-36189821
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Technology Assessment, Biomedical / Artificial Intelligence Type of study: Diagnostic_studies / Guideline / Health_technology_assessment / Prognostic_studies / Qualitative_research Aspects: Ethics Limits: Humans Language: En Journal: Int J Technol Assess Health Care Journal subject: PESQUISA EM SERVICOS DE SAUDE Year: 2022 Document type: Article Affiliation country: Dinamarca Country of publication: Reino Unido
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Technology Assessment, Biomedical / Artificial Intelligence Type of study: Diagnostic_studies / Guideline / Health_technology_assessment / Prognostic_studies / Qualitative_research Aspects: Ethics Limits: Humans Language: En Journal: Int J Technol Assess Health Care Journal subject: PESQUISA EM SERVICOS DE SAUDE Year: 2022 Document type: Article Affiliation country: Dinamarca Country of publication: Reino Unido