Crossmark

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

Crossref DOI link: https://doi.org/10.1186/s13071-024-06525-w

Published Online: 2024-11-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Steuer, Ashley

Fritzler, Jason

Boggan, SaraBeth

Daniel, Ian

Cowles, Bobby

Penn, Cory

Goldstein, Richard

Lin, Dan
Funding

Funding for this research was provided by:

Zoetis
License Information

Text and Data Mining valid from 2024-11-12

Version of Record valid from 2024-11-12
More Information

Article History

Received: 15 April 2024

Accepted: 5 October 2024

First Online: 12 November 2024

Declarations

:

: No IACUC or IRB approval was needed for this study design, in accordance with Texas Tech University’s IACUC policies. They were consulted in regard to this study and set up.

: All authors consent to publication in Parasites and Vectors.

: Ashley Steuer is now employed by Zois, however, at the time of study design and conduct, was under the employ of Texas Tech University.

Document is current

Any future updates will be listed below