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The medical profession transformed by artificial intelligence: Qualitative study.
Mosch, Lina; Fürstenau, Daniel; Brandt, Jenny; Wagnitz, Jasper; Klopfenstein, Sophie Ai; Poncette, Akira-Sebastian; Balzer, Felix.
Afiliação
  • Mosch L; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Informatics, Berlin, Germany.
  • Fürstenau D; Department of Anesthesiology and Intensive Care Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
  • Brandt J; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Informatics, Berlin, Germany.
  • Wagnitz J; Department of Business IT, IT University of Copenhagen, København, Denmark.
  • Klopfenstein SA; Universitätsmedizin Mainz, corporate member of Johannes Gutenberg University, Mainz, Germany.
  • Poncette AS; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Informatics, Berlin, Germany.
  • Balzer F; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Informatics, Berlin, Germany.
Digit Health ; 8: 20552076221143903, 2022.
Article em En | MEDLINE | ID: mdl-36532112
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Revista: Digit Health Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Revista: Digit Health Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha