Artificial intelligent tools: evidence-mapping on the perceived positive effects on patient-care and confidentiality
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Artificial intelligent tools: evidence-mapping on the perceived positive effects on patient-care and confidentiality ; volume:2 ; number:1 ; day:24 ; month:6 ; year:2024 ; pages:1-24 ; date:12.2024
BMC digital health ; 2, Heft 1 (24.6.2024), 1-24, 12.2024
- Klassifikation
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Soziale Probleme, Sozialdienste, Versicherungen
- Urheber
-
Botha, Nkosi N.
Ansah, Edward W.
Segbedzi, Cynthia E.
Dumahasi, Victor K.
Maneen, Samuel
Kodom, Ruby V.
Tsedze, Ivy S.
Akoto, Lucy A.
Atsu, Fortune S.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1186/s44247-024-00091-y
- URN
-
urn:nbn:de:101:1-2406302112358.057159244790
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:53 MESZ
Datenpartner
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Beteiligte
- Botha, Nkosi N.
- Ansah, Edward W.
- Segbedzi, Cynthia E.
- Dumahasi, Victor K.
- Maneen, Samuel
- Kodom, Ruby V.
- Tsedze, Ivy S.
- Akoto, Lucy A.
- Atsu, Fortune S.
- SpringerLink (Online service)
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