The Veterinary AI Learning Library

The first comprehensive regulatory framework published by the American Association of Veterinary State Boards (March 2025). Covers unlicensed practice, standards of practice, medical recordkeeping, data storage, and informed consent.

Created in early 2024 to develop strategy for supporting practitioners with AI and other emerging tech. This framing article from AVMA News explains the task force's charge and approach.

Anchor article on ethical and legal considerations, with emphasis on the lack of FDA-style premarket screening for veterinary AI tools.

Concise official position from the Canadian Veterinary Medical Association (2023). Useful as a comparison reference to U.S. frameworks, particularly on transparency and machine learning practices.

The American College of Veterinary Radiology and European College of Veterinary Diagnostic Imaging issued a joint statement on AI in radiology (JAVMA, 2025). Cite: Appleby RB, Difazio M, Cassel N, Hennessey R, Basran PS. JAVMA. 2025;263(6):773-776. doi:10.2460/javma.25.01.0027

Covers AI-supported diagnostics and remote monitoring within the broader telehealth framework. Older, but still the operating reference for AVMA teletriage positioning.

First-person FDA CVM paper on regulatory adaptation, AI in antimicrobial resistance research, and genome editing.

A guidance document from the Veterinary Innovation Council focused on radiology, written for practicing veterinarians. Free white paper download with practical implementation considerations.

Plain-language overview of where AI is being applied in practice today, especially around SOAP note documentation and client communication.

May 2025 interview with Dr. Ryan Appleby covering the regulatory and quality concerns in commercial veterinary AI radiology products.

Ongoing column from Dr. Aaron Massecar (former executive director of the Veterinary Innovation Council, now at CoVet). Practical strategy framing for AI adoption.

Bibliography-rich piece on building governance frameworks at the practice level. Useful template for clinics writing their own AI use policies.

RACE #20-1163016. 1.0 CE hour for veterinarians and technicians, recognized across U.S. and Canadian boards via AAVSB. Free to AAHA members, $25 for non-members. Covers AI fundamentals, types, applications, ethics, and future direction.

The AVMA's CE platform. Search for AI-related webinars in the on-demand library. Multiple AI sessions from AVMA Convention 2024 and ongoing webinars are available.

Annual event hosting up to 8 hours of RACE and NYS CE credit. SAVY 3.0 scheduled May 29-30, 2026, with both in-person and virtual access. Includes a hands-on "Build Your First AI Tool" workshop for non-coders.

Example of a state VMA actively producing AI CE programming. Worth bookmarking as a model, and worth following for content.

Curated collection of scientific articles on AI in veterinary medicine. March, April, and May 2025 issues of JAVMA include narrative review articles produced in collaboration with the SAVY symposium and the AVMA Task Force.

First-ever AJVR supplemental issue dedicated entirely to AI. Guest-edited by the Cornell SAVY organizers Drs. Cazer, Basran, and Ivanek-Miojevic.

Foundational ethics paper on ethical and legal issues of AI and ML in veterinary radiology and radiation oncology. Open access via PubMed Central. Frequently cited in subsequent literature.

Frequently cited primer in the literature. Cite: Am J Vet Res. 2022;83(5):385-392. doi:10.2460/ajvr.22.03.0038

Recent open-access ethics review, useful as a teaching reference for AI literacy and decision-support competency.

Biweekly newsletter on practical AI for veterinary practices, including what she's testing in clinic, ethical questions she's wrestling with, and curated updates to this library. You're already subscribed as part of accessing this library, so the next issue will land in your inbox automatically.

Substack newsletter on AI in veterinary medicine, written by Dr. William Tancredi, a practicing veterinarian and member of the AVMA Task Force on Emerging Technology. One of the most thoughtful independent voices in the space. Subscription fees go to his practice's "angel fund" for clients in financial need.

Practicing vet, founder of Uncharted Veterinary Conference. Frequent AI coverage on The Cone of Shame Veterinary Podcast and Uncharted Veterinary Podcast. Substack covers practice management and the profession's broader trajectory.

Educational content hub from Antech. Vendor-affiliated but explicitly educational, with articles from academic contributors including Dr. Parminder Basran at Texas A&M.

Industry publication with consistent AI coverage. Search "artificial intelligence" for ongoing reporting and case studies from across the profession.

Ongoing reporting from the AVMA's newsroom. Authoritative source for new policy and task force announcements.

Biweekly. Hosted by Robert Sanchez (Digital Empathy), Dr. Adam Little (Exponential Animal Health), and Aaron Massecar (CoVet). The most explicitly AI-focused podcast in the space.

Weekly. Hosted by Shawn Wilkie and Dr. Ivan Zak. Covers innovation broadly with regular AI episodes, including the notable May 2025 conversation with Lea-Ann Germinder on Responsible AI in vet med.

Dr. Andy Roark's show. Multiple AI episodes including conversations with Aaron Massecar on AI scribes and with Dr. Adam Little on the broader AI landscape.

Focused on AI in clinical contexts, including diagnostics and workflow integration.

Hosted by Dr. Adam Christman. Frequent AI episodes, including the January 2025 episode with Sebastian Gabor of Digitail on the AI landscape.

Includes an introduction to AI for vets, vet techs, and pet owners. Good entry-level material on what AI is and how it works in radiology.

Useful for understanding AI classifier performance metrics (sensitivity, specificity, AUC, radiologist agreement rate). Vetology has published performance data for its 89+ classifiers, which is itself an educational reference for how to evaluate any AI radiology tool.

Educational content from a major AI scribe vendor. The 2026 buying guide is a useful framework for evaluating any AI scribe, not just theirs.

AI scribe vendor with regular educational content on AI in vet med, SOAP notes, and workflow optimization.

ScribbleVet's partnership with UF College of Veterinary Medicine is the first system-wide adoption of an AI scribe at a U.S. veterinary college. Worth following for how academic institutions are integrating AI.

Practicing veterinarian (small animal and dairy), AI educator, and curator of this library. Writes The AI Vet Rounds newsletter on practical AI for veterinary practices, and builds AI tools and educational content for the profession. Founder of AI Agent Vet, SpringSyncAI, and Springs Creative Marketing.

The flagship academic event. Annual at Cornell, typically in May. SAVY 3.0 scheduled May 29-30, 2026.

Hosted annually by NAVC and the Veterinary Innovation Council in Kansas City. The 2024 summit was dedicated specifically to AI.

Hosts AI sessions in its CE programming each year. Sessions are typically recorded and posted to AVMA Axon.

Hosted an AI panel discussion in October 2025 that led to the framework article on responsible AI cited in Section 01.

Worth monitoring for AI-focused sessions, particularly around ethics, adoption, and governance.

Plain-language introduction to precision livestock farming, AI, and machine learning concepts for dairy producers and veterinarians.

From the ARPAS Symposium on AI and ML in Dairy Production Systems. Covers real-time video analysis for body condition, temperature, feed intake, and behavior-based early warning systems.

Narrative review of computer vision systems and large language models in animal farming, with implications for veterinarians serving food animal operations.

SAVY has a dedicated population medicine and livestock track each year, including a 2025 keynote on AI clinical value in food animal practice.

Referenced in the AJVR regulatory paper in Section 01. Genomic AI applications relevant to dairy and food animal medicine, particularly mastitis pathogen tracking and AMR surveillance.