Podcast
Veterinary AI Brief
Hosted by Robert Sanchez · EN
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.
12episodes
Episodes
Newest firstAll episodes
Episode 14. How Veterinarians Are Building Customized AI Solutions
Apr 1401:09:23Tap to summarizeJoin us in this episode of the Veterinary AI Brief as we explore how veterinary professionals are actively transforming their practices with AI tools. From building custom workflows to improving communication and patient care, our guests share their journeys, projects, and practical tips for adopting AI in veterinary medicine. Main Topics: Real-world AI applications in veterinary clinics Building and customizing AI tools without coding expertise Improving client communication and team workflows Practical steps for beginners to start experimenting with AI Future opportunities in proactive AI-driven patient management In this episode: How Dr. William Lane leveraged platform tools like Notebook LM and Node-based workflows to streamline clinical tasks Dr. Carly Little's innovative communication mentorship program using AI transcripts and feedback Dr. Sam Lewis's development of automated patient records and hospital dashboards Insights on navigating the learning curve and building impactful tools without extensive coding Strategies for starting small, iterating, and tackling problems unique to your practice Timestamps: 00:00 - Introduction to the episode and guest backgrounds 00:29 - The importance of structured AI workflows in veterinary practice 00:52 - Practical AI projects: From journal searching to patient record automation 01:33 - The impact of custom dashboards and communication tools in clinics 02:11 - Platforms and tools: Notebook LM, Node workflows, Replit, Cursor, Base44 02:36 - Building AI solutions without programming skills: Learning and iteration 03:27 - Developing team-wide and client-facing AI integrations 04:43 - Practical benefits: Patient care, staff efficiency, and client satisfaction 05:42 - Transitioning from reactive to proactive AI management 06:40 - How non-technical vets can start their AI journey 07:09 - Building and customizing AI tools to fit practice needs 08:11 - Project examples: Urgent care boards, pet portals, communication scoring 09:24 - The evolving role of veterinarian as builder of tailored solutions 10:02 - Overcoming the technical learning curve and resource strategies 11:23 - The power of starting small and iterating progressively 12:56 - How AI enhances team collaboration and client transparency 14:10 - Key insights: Cost-effective, flexible, and domain-specific AI tools 16:18 - Future outlook: Proactive, real-time AI interventions in veterinary care 17:45 - Adopting a problem-centric mindset to drive meaningful AI solutions 19:00 - Practical advice for non-technical vets: Use AI as a partner, not a coder 20:18 - The importance of iteration and patience in AI projects 21:23 - Building trust and custom solutions that fit your practice 22:45 - Making AI tools accessible and scalable for veterinary teams 24:10 - The role of AI in improving hospital workflows, diagnostics, and client communication 26:04 - Final takeaways: Ask what you need, start small, and build iteratively
Transcribe →Episode 13. When AI Outperforms Human Professionals
Mar 400:52:04Tap to summarizeUnlock 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.
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Episode 12: The Day that Changed the World
Feb 1301:00:00Tap to summarizeThe 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.
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Veterinary AI Trends for 2026: The Apps, Systems and Questions that will Reshape Practices
Dec 2401:07:05Tap to summarizeIt'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.
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Episode 10: The Biggest Release of the Year
Nov 2701:25:56Tap to summarizeIn 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
Transcribe →Episode 9: AI's Increasing Role at your local Veterinary Practice - Dr. Pat Welch
Nov 1801:25:56Tap to summarizeHosts: 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
Transcribe →Episode 1: An introduction; AI Possibilities and Challenges for Veterinarians
Nov 300:55:01Tap to summarizeWelcome 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.
Transcribe →Episode 2: Assessing ChatGPT 5
Oct 2300:46:59Tap to summarizeIn 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
Transcribe →Episode 3: Radiology, with Dr. Ryan Appleby
Oct 2300:58:10Tap to summarizeEpisode 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.
Transcribe →Episode 4: AI in General Practice - Communications and Diagnostics
Oct 2300:56:41Tap to summarizeWhat 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.
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