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355 Validation of an artificial intelligence Algorithm for predicting diagnosis-related groups in a...

355 Validation of an artificial intelligence Algorithm for predicting diagnosis-related groups in a...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7835742a01644e93a7336d815dee9e8f

355 Validation of an artificial intelligence Algorithm for predicting diagnosis-related groups in a community health system

About this item

Full title

355 Validation of an artificial intelligence Algorithm for predicting diagnosis-related groups in a community health system

Publisher

Cambridge: Cambridge University Press

Journal title

Journal of clinical and translational science, 2025-04, Vol.9 (s1), p.109-109

Language

English

Formats

Publication information

Publisher

Cambridge: Cambridge University Press

More information

Scope and Contents

Contents

Objectives/Goals: This study aims to evaluate the performance of a third-party artificial intelligence (AI) product in predicting diagnosis-related groups (DRGs) in a community healthcare system. We highlight a use case illustrating how clinical practice leverages AI-predicted information in unexpected yet advantageous ways and assess the AI predic...

Alternative Titles

Full title

355 Validation of an artificial intelligence Algorithm for predicting diagnosis-related groups in a community health system

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_7835742a01644e93a7336d815dee9e8f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7835742a01644e93a7336d815dee9e8f

Other Identifiers

ISSN

2059-8661

E-ISSN

2059-8661

DOI

10.1017/cts.2024.981

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