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Performance of ChatGPT, human radiologists, and context-aware ChatGPT in identifying AO codes from r...

Performance of ChatGPT, human radiologists, and context-aware ChatGPT in identifying AO codes from r...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2ef6b78e346448b7bd337087baf6d878

Performance of ChatGPT, human radiologists, and context-aware ChatGPT in identifying AO codes from radiology reports

About this item

Full title

Performance of ChatGPT, human radiologists, and context-aware ChatGPT in identifying AO codes from radiology reports

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2023-08, Vol.13 (1), p.14215-14215, Article 14215

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

While radiologists can describe a fracture’s morphology and complexity with ease, the translation into classification systems such as the Arbeitsgemeinschaft Osteosynthesefragen (AO) Fracture and Dislocation Classification Compendium is more challenging. We tested the performance of generic chatbots and chatbots aware of specific knowledge of the A...

Alternative Titles

Full title

Performance of ChatGPT, human radiologists, and context-aware ChatGPT in identifying AO codes from radiology reports

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2ef6b78e346448b7bd337087baf6d878

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2ef6b78e346448b7bd337087baf6d878

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-023-41512-8

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