VETNET：构建基准数据集，推动人工智能驱动的兽医创新

# VETNET: Assembling Benchmark Datasets for AI-Driven Veterinary Innovation
Source: [https://arxiv.org/abs/2610.14149](https://arxiv.org/abs/2610.14149)
Authors:[Katherine J\. Koebel](https://arxiv.org/search/cs?searchtype=author&query=Koebel,+K+J),[Renata Ivanek](https://arxiv.org/search/cs?searchtype=author&query=Ivanek,+R),[Parminder Basran](https://arxiv.org/search/cs?searchtype=author&query=Basran,+P),[Jennifer Sun](https://arxiv.org/search/cs?searchtype=author&query=Sun,+J),[Casey Cazer](https://arxiv.org/search/cs?searchtype=author&query=Cazer,+C),[Gayatri Anil](https://arxiv.org/search/cs?searchtype=author&query=Anil,+G),[Tommaso Banzato](https://arxiv.org/search/cs?searchtype=author&query=Banzato,+T),[Liz Barton](https://arxiv.org/search/cs?searchtype=author&query=Barton,+L),[Dottie Cimino Brown](https://arxiv.org/search/cs?searchtype=author&query=Brown,+D+C),[Leszek Bukowski](https://arxiv.org/search/cs?searchtype=author&query=Bukowski,+L),[Marta Castelhano](https://arxiv.org/search/cs?searchtype=author&query=Castelhano,+M),[Simon Coghlan](https://arxiv.org/search/cs?searchtype=author&query=Coghlan,+S),[Christopher De Sa](https://arxiv.org/search/cs?searchtype=author&query=De+Sa,+C),[Nikki Dutta](https://arxiv.org/search/cs?searchtype=author&query=Dutta,+N),[Hala Ghali](https://arxiv.org/search/cs?searchtype=author&query=Ghali,+H),[Julio Giordano](https://arxiv.org/search/cs?searchtype=author&query=Giordano,+J),[Joshua Glass](https://arxiv.org/search/cs?searchtype=author&query=Glass,+J),[David C\. Hogg](https://arxiv.org/search/cs?searchtype=author&query=Hogg,+D+C),[Nicholas Hollingshead](https://arxiv.org/search/cs?searchtype=author&query=Hollingshead,+N),[Adam Kiehl](https://arxiv.org/search/cs?searchtype=author&query=Kiehl,+A),[Ziang Liu](https://arxiv.org/search/cs?searchtype=author&query=Liu,+Z),[Monica Meduri](https://arxiv.org/search/cs?searchtype=author&query=Meduri,+M),[Param Mohapatra](https://arxiv.org/search/cs?searchtype=author&query=Mohapatra,+P),[Kim Nayyer](https://arxiv.org/search/cs?searchtype=author&query=Nayyer,+K),[Amelia Nelson](https://arxiv.org/search/cs?searchtype=author&query=Nelson,+A),[Peter\-John Mantyla Noble](https://arxiv.org/search/cs?searchtype=author&query=Noble,+P+M),[Christopher Pinard](https://arxiv.org/search/cs?searchtype=author&query=Pinard,+C),[Beryl Rabindran](https://arxiv.org/search/cs?searchtype=author&query=Rabindran,+B),[Scott Ross](https://arxiv.org/search/cs?searchtype=author&query=Ross,+S),[Ron Seccia](https://arxiv.org/search/cs?searchtype=author&query=Seccia,+R),[Moira Sheehan](https://arxiv.org/search/cs?searchtype=author&query=Sheehan,+M),[Fei Wang](https://arxiv.org/search/cs?searchtype=author&query=Wang,+F),[Tracy L\. Webb](https://arxiv.org/search/cs?searchtype=author&query=Webb,+T+L),[Kilian Q\. Weinberger](https://arxiv.org/search/cs?searchtype=author&query=Weinberger,+K+Q),[Heather M\. Whitney](https://arxiv.org/search/cs?searchtype=author&query=Whitney,+H+M),[Chen Xin](https://arxiv.org/search/cs?searchtype=author&query=Xin,+C)

[View PDF](https://arxiv.org/pdf/2610.14149)

> 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\.

## Submission history

From: Katherine Koebel \[[view email](https://arxiv.org/show-email/0652a77a/2610.14149)\] **\[v1\]**Fri, 9 Oct 2026 15:41:38 UTC \(1,342 KB\)