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2026-10-09
VETNET: Assembling Benchmark Datasets for AI-Driven Veterinary Innovation
Katherine J. KoebelRenata IvanekParminder BasranJennifer SunCasey CazerGayatri AnilTommaso BanzatoLiz BartonDottie Cimino BrownLeszek BukowskiMarta CastelhanoSimon CoghlanChristopher De SaNikki DuttaHala GhaliJulio GiordanoJoshua GlassDavid C. HoggNicholas HollingsheadAdam KiehlZiang LiuMonica MeduriParam MohapatraKim NayyerAmelia NelsonPeter-John Mantyla NobleChristopher PinardBeryl RabindranScott RossRon SecciaMoira SheehanFei WangTracy L. WebbKilian Q. WeinbergerHeather M. WhitneyChen Xin
文献摘要
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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