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Validation of Vetscan Imagyst ® , a diagnostic test utilizing an artificial intelligence deep learni...

Validation of Vetscan Imagyst ® , a diagnostic test utilizing an artificial intelligence deep learni...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5c582c6850ff4852876fc0af6d336908

Validation of Vetscan Imagyst ® , a diagnostic test utilizing an artificial intelligence deep learning algorithm, for detecting strongyles and Parascaris spp. in equine fecal samples

About this item

Full title

Validation of Vetscan Imagyst ® , a diagnostic test utilizing an artificial intelligence deep learning algorithm, for detecting strongyles and Parascaris spp. in equine fecal samples

Publisher

England: BioMed Central

Journal title

Parasites & vectors, 2024-11, Vol.17 (1), p.465-465, Article 465

Language

English

Formats

Publication information

Publisher

England: BioMed Central

More information

Scope and Contents

Contents

Current methods for obtaining fecal egg counts in horses are often inaccurate and variable depending on the analyst's skill and experience. Automated digital scanning of fecal sample slides integrated with analysis by an artificial intelligence (AI) algorithm is a viable, emerging alternative that can mitigate operator variation compared to convent...

Alternative Titles

Full title

Validation of Vetscan Imagyst ® , a diagnostic test utilizing an artificial intelligence deep learning algorithm, for detecting strongyles and Parascaris spp. in equine fecal samples

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_5c582c6850ff4852876fc0af6d336908

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5c582c6850ff4852876fc0af6d336908

Other Identifiers

ISSN

1756-3305

E-ISSN

1756-3305

DOI

10.1186/s13071-024-06525-w

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