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Veterinary AI Brief

Author: Robert Sanchez

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Welcome to the Veterinary AI Brief - your guide to navigating the rapid stream of AI in veterinary medicine. Hosts Robert (Digital Empathy), Aaron (CoVet), and Adam (Exponential Animal Health) share clear, actionable insights to help practitioners and entrepreneurs use AI with confidence.
12 Episodes
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Unlock the future of veterinary medicine with AI-driven breakthroughs proven to enhance diagnostic accuracy, reduce workloads, and transform clinical workflows. In this episode, we explore how cutting-edge research from Lancet's MASAI trials reveals AI's game-changing potential—catching 29% more cancers without increasing false positives and slashing radiologist workloads by nearly half. But what does this look like for vets? Is there a realistic path to integrating these advances into everyday practice?Join us as we break down the implications of AI in diagnostics, from human health to animal care. We delve into how machine learning models are helping detect early metastasis, streamline report writing, and elevate clinical decision-making—all while highlighting the critical importance of vet responsibility and trust. Our conversation with Dr. Tam of Colorado State University reveals why these innovations aren't just scalable for human health—they could redefine how we approach veterinary cancer screening, imaging, and workflow automation.
The Veterinary AI Brief is back — and a lot has happened. In this episode, Robert Sanchez, Aaron Amassecar, and Dr. Adam Little unpack three seismic developments shaping the future of veterinary medicine. First, VMX takeaways: Instinct's acquisition of ScribbleVet, what it means for the scribing landscape, and why the "bolt-on AI" approach to practice management systems may already be outdated. Aaron gives an insider's perspective from Covet on why dedicated AI copilots are pulling away from PIMS-native tools. Then, the big one: new frontier AI models from Anthropic and OpenAI have unlocked something called agentic engineering — and it's collapsing the barrier between idea and execution. Robert shares how he built a personal AI assistant over the holiday break that handles email triage, Salesforce data entry, meeting follow-ups, and more. The implications for practice owners, veterinarians, and the entire SaaS ecosystem are massive. Finally, the rise of OpenClaw — autonomous AI agents that work 24/7, interact with each other, and are already generating real revenue. It's weird, it's wild, and it might be the closest thing to AGI we've tasted yet. Whether you're a practice owner wondering how AI reshapes your business model, a veterinarian curious about building your own tools, or an industry leader trying to stay ahead — this one's essential listening.  
 It's our holiday "step-back" episode: what actually mattered in veterinary AI in 2025—and what's most likely to hit practices hard in 2026. With special guest Jon Ayers, Robert, Adam and Aaron map the rapidly changing landscape: the breakout adoption of AI scribes, the "app explosion" happening around (not inside) PIMS platforms, and why the next year will be less about "tech toys" and more about AI as labor—tools that behave like employees and move spend from software budgets into staffing/COGS. We also get blunt about the reality in clinics: you only have so much change-management budget. So the question isn't "What's the coolest new tool?"—it's "What 1–3 changes will measurably improve throughput, capture more calls, and upgrade the pet owner experience without blowing up your workflow?" In this episode: Why many practices should not switch PIMS in 2026—and what to do instead How scribes became the fastest "new tech" adoption in vet med (and what that signals next) The PIMS platform dilemma: be the ecosystem enabler or get labeled the bottleneck The coming wave: AI receptionists, online booking, and next-gen client communications A practical way to "pick your shots" in 2026 so change doesn't stall everything The bigger stakes: pet-owner economics, access to care, and why regulation may need to evolve If you want a clear, actionable lens for evaluating the flood of tools—and choosing the moves that actually change outcomes—this is the one.
In this episode of the Veterinary AI Brief, co-hosts Robert Sanchez, Dr. Adam Little, and Aaron Massecar dive into the latest advancements in AI technology and its implications for the veterinary industry. The discussion kicks off with a focus on Google's release of Gemini 3, a groundbreaking AI model that promises to revolutionize the field with its multimodal capabilities. The hosts explore how these developments are set to transform veterinary practices, from enhancing diagnostic tools to improving client communication. Participants Robert Sanchez, Adam Little, Aaron Massecar Key Takeaways: Google's Gemini 3 is a game-changer in AI, offering state-of-the-art capabilities that surpass previous models. The integration of AI in everyday applications like Gmail and Google Docs is set to enhance efficiency and user experience. AI's role in veterinary medicine is expanding, with potential applications in diagnostics, client communication, and practice management. The rapid adoption of AI tools in the veterinary industry highlights the demand for innovative solutions that improve workflow and patient care. Chapters: [00:00] Introduction and Welcome [05:12] The Impact of Google's Gemini 3 [15:45] AI in Veterinary Diagnostics [25:30] Enhancing Client Communication with AI [35:50] The Future of AI in Veterinary Practice Management  
Hosts: Aaron, Adam Guest: Pat Welch (Veterinary Ophthalmologist, Innovator, Ethos Learning Team)   Summary: This episode explores the evolving role of AI in veterinary medicine, featuring a deep-dive with Pat Welch. The hosts discuss recent news in AI, the impact of agentic browsers, the concept of Claude Skills, and a comparative study on AI adoption in China vs. North America. The conversation also covers the future of veterinary roles, the democratization of technology, and practical advice for professionals navigating rapid change. About: Dr. Patrick Welch is a seasoned C-level executive, entrepreneur, and board-certified veterinary specialist with a proven track record in innovation, strategy, and organizational transformation. He founded VetBloom, a leading digital learning ecosystem; established a veterinary compounding pharmacy; and played a key Executive role in scaling Ethos Veterinary Health from two locations into a national network. While grounded in the veterinary industry, Patrick's passion lies at the intersection of technology, learning, artificial intelligence, and growth. He is known for driving change, building scalable platforms, and leading cross-industry collaborations that reimagine how professionals learn, work, and deliver care. In his current role, he leads innovation and clinical learning at Ethos, where he is leveraging AI and emerging technologies to transform clinical workflows, disrupt traditional learning models, and build the industry ecosystems required to drive lasting change.   Topics Covered: • 0:00 – Introduction & Guest Background (Pat Welch) • 1:00 – Pat's Career Journey: Ophthalmology, Learning, and AI • 3:00 – News Highlights: OpenAI's ChatGPT Atlas and Agentic Browsers • 12:00 – Security Concerns: Prompt Injection & Browser Agents • 16:00 – Claude Skills: Customizing AI Workflows • 28:00 – Low/No-Code Automation in Veterinary Practice • 32:00 – Notebook LM: AI-Generated Podcasts and Explainers • 38:00 – Prompt Injection Risks & Security • 44:00 – Comparative Study: AI Adoption in China vs. North America • 54:00 – The Future of Veterinary Roles & AI's Impact • 1:10:00 – Pat's Career Reflections & Advice for Innovators • 1:20:00 – Building Innovative Cultures in Organizations • 1:30:00 – The Fourth Industrial Revolution in Veterinary Medicine • 1:45:00 – Timeline: The Future of AI in Veterinary Practice • 1:55:00 – The Human Element: Roles, Fulfillment, and Change • 2:05:00 – Final Thoughts & Where to Follow Pat Welch   Resources Mentioned: • ChatGPT Atlas • Claude Skills • Notebook LM • The Adoption Paradox Paper (Veterinary AI in China vs. North America) • Pat Welch on LinkedIn & Substack
Welcome to the first episode of The Veterinary AI Brief! In this kickoff conversation, Robert, Adam, and Aaron take you inside the AI explosion and what it means for veterinary professionals right now. We cover: - What AI agents really are, and how they'll soon handle everything from estimate follow-ups to workflow automation. - The launch of ChatGPT's Learning Mode and its implications for personalized CE and mentorship. - What's likely coming with GPT-5, and why this next leap could be a game-changer for everyday workflows. Whether you're a curious vet or an ambitious builder, this episode gives you the clarity and confidence to start using AI with purpose.
In this episode of the Veterinary AI Brief, co-hosts Robert, Adam and Aaron discuss the transformative implications of recent AI advancements, particularly the release of GPT-5. Robert and Adam delve into notable AI developments, including Google's Genie 3 and OpenAI's latest release, exploring the potential of these tools in the veterinary field, emphasizing its role in diagnostics and client communication. The trio announces plans to invite veterinary specialists to evaluate AI's utility in clinical cases, addressing its strengths and limitations on the podcast. The hosts also consider AI's capacity to create highly personalized client experiences and address the potential for AI to both empower pet owners and support veterinary professionals.   CHAPTER MARKERS [00:00:13] Introduction and Background [00:01:21] Recent AI Developments [00:02:38] Discussion of Genie Three and Image Generation [00:04:03] Introduction of Team Members [00:05:50] History of GPT Models [00:07:51] Key Features of GPT-5 [00:10:11] Analysis of GPT-5 Launch [00:12:11] Model Switching and Performance [00:14:50] Hallucination Rates and Accuracy [00:17:16] Long-Term Task Management and AGI Discussion [00:19:31] AI Task Management and Workflow Integration [00:22:01] Client Communication and AI Assistance [00:24:26] Future of Veterinary Knowledge and AI [00:27:52] AI's Role in Client Education and Care Planning [00:36:54] Personalizing Care with AI Assistance [00:43:21] Future Plans for AI Case Studies with Specialist [00:45:59] Conclusion and Future Plans
Episode 3: Radiology, with Dr. Ryan Appleby Veterinary AI Brief Podcast 4 subscribers Analytics     Edit video       0             Share       Promote       Download       In this episode of AI for Vets, hosts Robert and Dr. Adam Little are joined by Dr. Ryan Appleby, a board-certified veterinary radiologist, to explore the evolving role of AI in veterinary medicine. The conversation dives into how AI is being adopted in veterinary radiology, highlighting the differences in regulation and innovation compared to human medicine. Dr. Appleby explain that while AI tools can streamline administrative tasks and improve workflow, large language models like GPT-5 are not reliable for direct image interpretation and can sometimes provide convincing but incorrect answers. The episode discusses the financial incentives behind marketing AI tools to general veterinarians, the lack of transparency and oversight in current veterinary AI products, and the risks of misdiagnosis and increased costs when AI is used without radiologist input. Real-world examples illustrate both the promise and pitfalls of AI in image analysis, emphasizing the need for human oversight and critical thinking. The hosts and guest stress the importance of transparency, informed consent, and collaboration between AI developers, radiologists, and practitioners.
What happens when a practicing veterinarian takes AI out of the hype cycle and into the exam room? In this episode of The Veterinary AI Brief, we're joined by Dr. Bill Tancredi, practice owner and early AI adopter, to explore how large language models are reshaping his veterinary workflows. From softening emotionally charged client communications to expanding diagnostic differentials, Dr. Tancredi shares real examples of AI as a practical colleague - not a replacement. We dig into the difference between accuracy and usefulness, why the "jagged frontier" of AI matters for medicine, and how veterinarians can start today with simple, high-leverage use cases that save time, preserve emotional energy, and improve patient care. If you've ever wondered how to actually apply AI in daily practice, this conversation delivers both inspiration and actionable steps.
AI and Empathy, Transforming Veterinary Medicine with Dr. Christopher PinardThe team welcomes Dr. Christopher Pinard, a board-certified veterinary oncologist and AI entrepreneur. The conversation dives deep into the intersection of artificial intelligence and oncology, exploring how AI is revolutionizing cancer care for pets, improving accessibility, and personalizing treatment. Dr. Pinard shares insights from his research, the challenges of integrating AI into veterinary practice, and the importance of empathy in both human and machine interactions. The hosts and guests discuss the future of veterinary medicine, the role of data, trust, and regulation, and offer practical advice for practitioners and pet owners navigating this rapidly evolving landscape. 00:00 – Empathy in AI: The Surprising First Response 00:25 – The Future of Pet Owners and AI Tools 01:05 – Introducing Dr. Christopher Pinard 02:00 – The Evolution of Oncology in Veterinary Medicine 03:00 – Chris's Journey: From Vet School to AI Entrepreneur 05:00 – Translational Medicine: Lessons from Human Oncology 07:00 – AI in Research: Protein Folding and Drug Development 10:00 – How AI is Accelerating Cancer Research 13:00 – Personalized Care and Predictive Oncology 16:00 – Remote Consultations and 3D Tumor Scanning 20:00 – Computer Vision and Automated Tumor Detection 25:00 – Trust, Data, and the Challenges of AI Adoption 30:00 – Regulation, Benchmarks, and Transparency in AI Tools 35:00 – The Future of Veterinary Practice: Collaboration and Education 40:00 – Final Takeaways and the Call for AI Literacy
In this episode of the Veterinary AI Brief, hosts Robert Sanchez, Aaron Massacre, and Dr. Adam Little discuss the latest developments in AI and wearable technology and their implications for the veterinary industry. After a brief hiatus, the hosts return to share personal updates before diving into the main topics. They explore the new sentiment analysis feature from vet rec, the challenges of AI hallucinations, and Meta's unveiling of AI-powered glasses and wristbands. They also touch on the broader ramifications of these technologies for the veterinary field, including AI coaching and mentorship, language translation, and the potential rise of ambient computing. The episode concludes with an announcement about a collaborative report on AI in veterinary medicine, spearheaded by former IDEXX CEO John Ayers. 00:00 Welcome Back to the Veterinary AI Brief 00:57 Aaron's Mountain Biking Mishap 02:26 Robert's Cross-Country Adventure 03:35 Exciting News and AI Sentiment Analysis 07:38 The Future of Veterinary AI Tools 22:58 Hallucinations in AI Models 29:59 Choosing the Right AI Mode 30:38 The Impact of Social Media on Society 31:58 Mark Zuckerberg and AI Glasses 32:55 Meta's AI Glasses and Wristband 34:26 Future of Ambient Computing 40:06 Implications for the Veterinary Industry 45:03 The Role of AI in Veterinary Practices 55:14 Exciting Collaboration Announcement 58:15 Closing Remarks and Future Plans
This episode of The Veterinary AI Brief gets real the moment a client in a euthanasia consult says, "I'm going to ask ChatGPT what to do." From that human, high-stakes scene, guest Dr. Andy Roark (Uncharted Veterinary Conference; longtime pulse-check for practitioners) joins hosts Robert Sanchez, Adam Little and Aaron Massecar to unpack what AI is doing to the identity of general practice - and how to keep care human. We start with the U.K. CMA's push for price transparency and ask whether bottom-up tech in North America will force similar change. Rourke argues the danger isn't transparency itself; it's commoditization - when "a neuter is just a neuter" and nuance disappears. He lays out a vivid framework: use AI as an accelerator, not a crutch; beware the "easy-button" path that atrophies clinical judgment; expect a cultural and economic pushback phase driven by misapplication and weak ROI; and prepare for unpredictable watershed moments that shape public comfort with AI.
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