VETNET: Assembling Benchmark Datasets for AI-Driven Veterinary Innovation

Computer Science > Artificial Intelligence arXiv:2610.14149 (cs) [Submitted on 9 Oct 2026] Title: VETNET: Assembling Benchmark Datasets for AI-Driven Veterinary Innovation Authors: 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.

计算机科学 > 人工智能 arXiv:2610.14149 (cs) [提交于 2026 年 10 月 9 日] 标题：VETNET：为人工智能驱动的兽医创新汇编基准数据集 作者：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。

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.

摘要：VETNET 代表了一个动态基准数据集和评估框架的生态系统，旨在通过跨学术和非学术部门的标准化、高质量数据集以及多机构合作，加速动物科学和兽医学中人工智能驱动的创新。该框架旨在解决人类医学中人工智能的进步与兽医人工智能发展碎片化状态之间的差距。