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Identification of kidney-related medications using AI from self-captured pill images

Identification of kidney-related medications using AI from self-captured pill images

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_521dbe29972946488949565565c8acf0

Identification of kidney-related medications using AI from self-captured pill images

About this item

Full title

Identification of kidney-related medications using AI from self-captured pill images

Publisher

England: Taylor & Francis Ltd

Journal title

Renal failure, 2024-12, Vol.46 (2), p.2402075

Language

English

Formats

Publication information

Publisher

England: Taylor & Francis Ltd

More information

Scope and Contents

Contents

ChatGPT, a state-of-the-art large language model, has shown potential in analyzing images and providing accurate information. This study aimed to explore ChatGPT-4 as a tool for identifying commonly prescribed nephrology medications across different versions and testing dates.
25 nephrology medications were obtained from an institutional pharmac...

Alternative Titles

Full title

Identification of kidney-related medications using AI from self-captured pill images

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_521dbe29972946488949565565c8acf0

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_521dbe29972946488949565565c8acf0

Other Identifiers

ISSN

0886-022X,1525-6049

E-ISSN

1525-6049

DOI

10.1080/0886022X.2024.2402075

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