Can an artificial intelligence powered software reliably assess pelvic radiographs?
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Can an artificial intelligence powered software reliably assess pelvic radiographs? ; volume:47 ; number:4 ; day:17 ; month:2 ; year:2023 ; pages:945-953 ; date:4.2023
International orthopaedics ; 47, Heft 4 (17.2.2023), 945-953, 4.2023
- Urheber
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Schwarz, Gilbert M.
Simon, Sebastian
Mitterer, Jennyfer A.
Huber, Stephanie
Frank, Bernhard JH
Aichmair, Alexander
Dominkus, Martin
Hofstaetter, Jochen G.
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s00264-023-05722-z
- URN
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urn:nbn:de:101:1-2023080421081920554170
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:51 MESZ
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Beteiligte
- Schwarz, Gilbert M.
- Simon, Sebastian
- Mitterer, Jennyfer A.
- Huber, Stephanie
- Frank, Bernhard JH
- Aichmair, Alexander
- Dominkus, Martin
- Hofstaetter, Jochen G.
- SpringerLink (Online service)
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