Ability of ChatGPT to generate competent radiology reports for distal radius fracture by use of RSNA template items and integrated AO classifier

Bosbach, Wolfram A.; Senge, Jan F.; Nemeth, Bence; Omar, Siti H.; Mitrakovic, Milena; Beisbart, Claus; Horváth, András; Heverhagen, Johannes; Daneshvar, Keivan (2024). Ability of ChatGPT to generate competent radiology reports for distal radius fracture by use of RSNA template items and integrated AO classifier. Current problems in diagnostic radiology, 53(1), pp. 102-110. Elsevier 10.1067/j.cpradiol.2023.04.001

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Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology
06 Faculty of Humanities > Department of Art and Cultural Studies > Institute of Philosophy

UniBE Contributor:

Bosbach, Wolfram Andreas, Németh, Bence, Beisbart, Claus, Heverhagen, Johannes, Daneshvar, Keivan

Subjects:

100 Philosophy
600 Technology > 610 Medicine & health

ISSN:

0363-0188

Publisher:

Elsevier

Language:

English

Submitter:

Maria de Fatima Henriques Bernardo

Date Deposited:

27 Apr 2023 14:10

Last Modified:

05 Dec 2023 00:12

Publisher DOI:

10.1067/j.cpradiol.2023.04.001

BORIS DOI:

10.48350/182022

URI:

https://boris.unibe.ch/id/eprint/182022

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