Potential of GPT-4 for Detecting Errors in Radiology Reports: Implications for Reporting Accuracy-Reference-Cited by-同舟云学术

Potential of GPT-4 for Detecting Errors in Radiology Reports: Implications for Reporting Accuracy

Published:2024-04-01 Issue:1 Volume:311 Page:
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Gertz Roman Johannes¹^ORCID,Dratsch Thomas¹^ORCID,Bunck Alexander Christian¹^ORCID,Lennartz Simon¹^ORCID,Iuga Andra-Iza¹^ORCID,Hellmich Martin Gunnar¹^ORCID,Persigehl Thorsten¹^ORCID,Pennig Lenhard¹^ORCID,Gietzen Carsten Herbert¹^ORCID,Fervers Philipp¹^ORCID,Maintz David¹^ORCID,Hahnfeldt Robert¹^ORCID,Kottlors Jonathan¹^ORCID

Affiliation:

1. From the Institute of Diagnostic and Interventional Radiology (R.J.G., T.D., A.C.B., S.L., A.I.I., T.P., L.P., C.H.G., P.F., D.M., R.H., J.K.) and Institute of Medical Statistics and Bioinformatics (M.G.H.), Faculty of Medicine, University Hospital Cologne, University of Cologne, Kerpener Strasse 62, 50937 Cologne, Germany.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Radiological Society of North America (RSNA)

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.232714

Reference37 articles.

1. The Effects of Changes in Utilization and Technological Advancements of Cross-Sectional Imaging on Radiologist Workload

2. Frequency and Spectrum of Errors in Final Radiology Reports Generated With Automatic Speech Recognition Technology

3. Revealing the most common reporting errors through data mining of the report proofreading process

4. ChatGPT and the Future of Medical Writing

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