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
Organizations: Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA · Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA · Department of Computer Science, Cornell Ann S. Bowers College of Computing and Information Science, Cornell University, Ithaca, NY, USA · Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA · Department of Animal Medicine, Production, and Health, University of Padua, Italy · Vet Validate Ltd., St. John’s Innovation Centre, Cambridge, UK · Mars Veterinary Health, Vancouver, WA, USA · VetApp, Poland · Cornell Veterinary Biobank, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA · School of Computing and Information Systems, The University of Melbourne, Australia · Foundation for Food & Agriculture Research, Washington, DC, USA · Department of Data Science and Research, The Schwarzman Animal Medical Center, New York, USA · Department of Animal Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY, USA · School of Computer Science, University of Leeds, Leeds, UK · Department of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, USA · Center for Applied Mathematics, Cornell University, Ithaca, NY, USA · Cornell Law School, Cornell University, Ithaca, NY, USA · Small Animal Veterinary Surveillance Network, School of Veterinary Sciences, University of Liverpool, Leahurst Campus, Chester High Road, Neston, Cheshire, UK · Department of Oncology, Toronto Animal Cancer Centre, Toronto, Ontario, Canada · ANI.ML Research, ANI.ML Health Inc., Toronto, Ontario, Canada · Department of Small Animal Clinical Sciences, University of Saskatoon, Saskatoon, Saskatchewan, Canada · Centre for Advancing Responsible and Ethical Artificial Intelligence (CARE-AI), University of Guelph, Guelph, Ontario, Canada · Amazon Web Services (AWS) Open Data, Arlington, VA, USA · Veterinary Medicine Information Technology (VMIT), College of Veterinary Medicine, Cornell University, Ithaca, NY, USA · Breeding Insight, Institute for Food and Agricultural Sciences, University of Florida, Gainesville, FL, USA · Division of Health Informatics and Artificial Intelligence, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA · Department of Radiology, The University of Chicago, Chicago, IL, USA · Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong SAR, China
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.
The Ohio State University, Department of Computer Science and Engineering, Columbus, OH, USA · School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, United Kingdom · 33D Optical Metrology (3DOM), Fondazione Bruno Kessler (FBK), Trento, Italy +7