Building Benchmarks for AI-Driven Veterinary Innovation

The From Data to Animal Health: Building Benchmarks for AI-Driven Veterinary Innovation Thought Summit focuses on advancing artificial intelligence to transform animal health across species and veterinary domains. The summit will bring together experts from veterinary medicine, computer science, ethics, and law to tackle the unique challenges of creating standardized, high-quality datasets tailored to veterinary needs.

Through collaborative workshops and discussions, participants will lay the groundwork for VETNET—a pioneering ecosystem of live benchmarks designed to foster AI-driven innovation in veterinary medicine. The summit aims to spark a multi-institutional academia-industry partnership, publish a foundational whitepaper, and catalyze the development of public benchmark datasets that will drive transformative progress in animal health and improve outcomes for animals, veterinary professionals, One Health, and society at large.

Program highlights

Keynotes (open to the event participants only):

• P-J Noble, University of Liverpool, “What is? Current state of benchmarks in vet medicine: needs, challenges, and opportunities”
• Maryellen Giger, University of Chicago, “What can become? Learn from benchmark successes and failures in human medicine”
• Kilian Weinberger, Cornell University, “Datasets in the Age of Foundation Models”

Panel on the plans for the VETMED ecosystem (open to the public)

Where: Cornell College of Veterinary Medicine, Lecture Hall 5
When: June 11, 2026
• 4-5 p.m.: Panelists will reflect on key insights and share future visions for interdisciplinary collaboration in building veterinary benchmarks.
• 5-6 p.m.: Networking reception