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Patients' perspectives on the use of artificial intelligence in dentistry: a regional survey.
Ayad, Nasim; Schwendicke, Falk; Krois, Joachim; van den Bosch, Stefanie; Bergé, Stefaan; Bohner, Lauren; Hanisch, Marcel; Vinayahalingam, Shankeeth.
Afiliação
  • Ayad N; Department of Oral and Maxillofacial Surgery, Hospital University Münster, 48149, Münster, Germany. nasim@ayad.de.
  • Schwendicke F; Department of Oral Diagnostics and Digital Health and Health Services Research, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Aßmannshauser Str. 4-6, 14197, Berlin, Germany.
  • Krois J; Department of Oral Diagnostics and Digital Health and Health Services Research, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Aßmannshauser Str. 4-6, 14197, Berlin, Germany.
  • van den Bosch S; Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, P.O. Box 9101, 6500 HB, Nijmegen, the Netherlands.
  • Bergé S; Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, P.O. Box 9101, 6500 HB, Nijmegen, the Netherlands.
  • Bohner L; Department of Oral and Maxillofacial Surgery, Hospital University Münster, 48149, Münster, Germany.
  • Hanisch M; Department of Oral and Maxillofacial Surgery, Hospital University Münster, 48149, Münster, Germany.
  • Vinayahalingam S; Department of Oral and Maxillofacial Surgery, Hospital University Münster, 48149, Münster, Germany.
Head Face Med ; 19(1): 23, 2023 Jun 22.
Article em En | MEDLINE | ID: mdl-37349791
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Assistência Odontológica Tipo de estudo: Guideline Limite: Adolescent / Adult / Humans Idioma: En Revista: Head Face Med Assunto da revista: MEDICINA / ODONTOLOGIA / ORTOPEDIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha
Texto completo
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XML
PubMed Links
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Assistência Odontológica Tipo de estudo: Guideline Limite: Adolescent / Adult / Humans Idioma: En Revista: Head Face Med Assunto da revista: MEDICINA / ODONTOLOGIA / ORTOPEDIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha