VETNET: Assembling Benchmark Datasets for AI-Driven Veterinary Innovation

Katherine J. Koebel; Renata Ivanek; Parminder Basran; Jennifer Sun; Casey Cazer; Gayatri Anil; Tommaso Banzato; Liz Barton; Dottie Cimino Brown; Leszek Bukowski; Marta Castelhano; Simon Coghlan; Christopher De Sa; Nikki Dutta; Hala Ghali; Julio Giordano; Joshua Glass; David C. Hogg; Nicholas Hollingshead; Adam Kiehl; Ziang Liu; Monica Meduri; Param Mohapatra; Kim Nayyer; Amelia Nelson; Peter-John Mantyla Noble; Christopher Pinard; Beryl Rabindran; Scott Ross; Ron Seccia; Moira Sheehan; Fei Wang; Tracy L. Webb; Kilian Q. Weinberger; Heather M. Whitney; Chen Xin

arXiv · 2610.14149

VETNET: Assembling Benchmark Datasets for AI-Driven Veterinary Innovation

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Abstract

VETNET represents an ecosystem of live benchmark datasets and evaluation frameworks designed to accelerate AI-driven innovation in animal science and veterinary medicine through standardized, high-quality datasets and multi-institutional collaboration across academic and non-academic sectors. This framework addresses the gap between AI advances in human medicine and the fragmented state of veterinary AI development.

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Katherine J. Koebel, Renata Ivanek, Parminder Basran, Jennifer Sun, Casey Cazer, Gayatri Anil, Tommaso Banzato, Liz Barton, Dottie Cimino Brown, Leszek Bukowski, Marta Castelhano, Simon Coghlan, Christopher De Sa, Nikki Dutta, Hala Ghali, Julio Giordano, Joshua Glass, David C. Hogg, Nicholas Hollingshead, Adam Kiehl, Ziang Liu, Monica Meduri, Param Mohapatra, Kim Nayyer, Amelia Nelson, Peter-John Mantyla Noble, Christopher Pinard, Beryl Rabindran, Scott Ross, Ron Seccia, Moira Sheehan, Fei Wang, Tracy L. Webb, Kilian Q. Weinberger, Heather M. Whitney, Chen Xin. 2026-10-09. VETNET: Assembling Benchmark Datasets for AI-Driven Veterinary Innovation. https://arxiv.org/abs/2610.14149

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