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Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative Study

Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative Study

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8e77704d98724ad6a0ddae0555296aad

Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative Study

About this item

Full title

Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative Study

Publisher

Canada: JMIR Publications

Journal title

JMIR medical education, 2023-12, Vol.9, p.e48904

Language

English

Formats

Publication information

Publisher

Canada: JMIR Publications

More information

Scope and Contents

Contents

Large language models, such as ChatGPT, are capable of generating grammatically perfect and human-like text content, and a large number of ChatGPT-generated texts have appeared on the internet. However, medical texts, such as clinical notes and diagnoses, require rigorous validation, and erroneous medical content generated by ChatGPT could potentia...

Alternative Titles

Full title

Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative Study

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8e77704d98724ad6a0ddae0555296aad

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8e77704d98724ad6a0ddae0555296aad

Other Identifiers

ISSN

2369-3762

E-ISSN

2369-3762

DOI

10.2196/48904

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