Benchmarking ChatGPT-4 on a radiation oncology in-training exam and Red Journal Gray Zone cases: potentials and challenges for ai-assisted medical education and decision making in radiation oncology
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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In: Frontiers in Oncology 13 (2023): 1265024.
- Ereignis
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Veröffentlichung
- (wo)
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Erlangen
- (wer)
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Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
- (wann)
-
2023
- Urheber
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Huang, Yixing
Gomaa, Ahmed
Semrau, Sabine
Haderlein, Marlen
Lettmaier, Sebastian
Weissmann, Thomas
Grigo, Johanna
Tkhayat, Hassen Ben
Frey, Benjamin
Gaipl, Udo
Distel, Luitpold
Maier, Andreas
Fietkau, Rainer
Bert, Christoph
Putz, Florian
- DOI
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10.3389/fonc.2023.1265024
- URN
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urn:nbn:de:bvb:29-opus4-239449
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.0017, 13:43 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Huang, Yixing
- Gomaa, Ahmed
- Semrau, Sabine
- Haderlein, Marlen
- Lettmaier, Sebastian
- Weissmann, Thomas
- Grigo, Johanna
- Tkhayat, Hassen Ben
- Frey, Benjamin
- Gaipl, Udo
- Distel, Luitpold
- Maier, Andreas
- Fietkau, Rainer
- Bert, Christoph
- Putz, Florian
- Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Entstanden
- 2023
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