Episode #
65
Advancements in Artificial Intelligence in Veterinary Medicine.
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In this episode of the Veterinary Business Podcast, Dr. Amanda Landis-Hanna sits down with Kevin Cohen, a visionary technologist with a background at Microsoft, to discuss the growing role of Artificial Intelligence (AI) in veterinary medicine. Kevin shares his journey into AI and how his experiences led him to explore its applications in the veterinary field. They delve into the practical uses of AI, including machine learning and large language models, and how these technologies are revolutionizing veterinary workflows. From automating medical records to improving efficiency and patient care, this episode explores how AI is helping veterinarians focus more on their patients and less on administrative tasks.
Tune in to learn how AI is shaping the future of veterinary medicine and what’s next for this rapidly evolving field.
Key Takeaways:
- AI in Veterinary Medicine: AI is being used to automate time-consuming tasks like medical record-keeping, allowing veterinarians to dedicate more time to patient care and client communication.
- Machine Learning & Large Language Models: Kevin explains the basics of machine learning and large language models (like ChatGPT) and how they are being applied in veterinary practices to generate medical records and streamline workflows.
- Improving Veterinarian Well-being: By reducing the time spent on administrative tasks, AI tools are helping veterinarians improve their work-life balance, reduce burnout, and enhance mental health.
- Customizable Solutions: Effective AI tools in veterinary medicine must be customizable and integrate seamlessly with existing practice management software to meet the unique needs of different veterinarians and specialties.
- Future of AI in Vet Med: The veterinary industry is rapidly adopting AI technologies, with predictions that a significant percentage of clinics will be using AI tools by 2025. Innovations like AI-assisted radiology and voice-over-IP integrations are on the horizon.
- Easy Adoption: Many AI tools offer free trials and intuitive interfaces, making it easy for veterinarians to test and adopt these technologies in their daily workflows.
- Veterinary Medicine Leading the Way: Unlike other industries, veterinary medicine is adopting AI at a faster pace, positioning itself as a leader in technological innovation within the healthcare sector.
Listen to this Episode on
Timestamp
- 00:00 – Introduction & Welcome
- Dr. Amanda Landis-Hanna introduces the episode, outlines the podcast’s mission, and welcomes Kevin Cohen.
- 02:44 – Kevin’s Journey into AI
- Kevin shares his background in tech (Microsoft) and how he transitioned into AI development.
- Explains foundational concepts: machine learning vs. generative AI.
- 03:59 – AI Basics: Machine Learning & Large Language Models
- Simplified definitions of machine learning, large language models (LLMs), and their relevance to veterinary workflows.
- Discussion on how tools like ChatGPT differ from traditional AI applications.
- 09:10 – Transition to Veterinary Medicine
- Kevin’s inspiration for focusing on veterinary AI (personal experience with his dog’s vet visit).
- Challenges veterinarians face with administrative tasks (e.g., medical records).
- 13:42 – Solving Vet Burnout with AI
- How AI reduces administrative burdens, improves work-life balance, and enhances patient care.
- Importance of customizable templates and seamless software integrations.
- 22:40 – Testing & Adoption of AI Tools
- Overcoming skepticism in the veterinary community.
- The role of free trials and ease of adoption in driving AI acceptance.
- 27:22 – Future Trends in Veterinary AI
- Predictions for AI adoption by 2025 (e.g., AI-assisted radiology, voice integrations).
- Veterinary medicine’s potential to lead in healthcare innovation.
- 30:56 – Closing & Resources
- How listeners can explore AI tools (websites, conferences like VMX/WVC).
- Final thoughts on AI’s transformative potential in veterinary medicine.
Pinhas Kevin Cohen
Co-Founder – VetRec
Pinhas Kevin Cohen is an innovative technologist and entrepreneur with a passion for leveraging technology to simplify and enhance veterinary practices. He is the Co-Founder of VetRec (YC S23), an AI-driven solution transforming the way veterinarians manage SOAP notes. VetRec allows veterinarians to focus on patient care by generating SOAP notes in just 30 seconds using cutting-edge recording technology.
With a strong foundation in software engineering, Kevin has an impressive career spanning over a decade, including leadership roles at top companies like Microsoft and Circle. As a Software Engineering Manager and Senior Software Engineer, he has contributed to the development of big data tools, monitoring systems, and scalable solutions across various domains.
Kevin’s technical expertise extends to C++, Java, and mathematics, with fluency in English, Spanish, and working knowledge of Hebrew. He holds a Bachelor’s degree in Computer Science with a minor in Mathematics from Penn State University. His academic achievements include recognition on the Dean’s List and multiple awards for academic excellence.
Driven by a vision to innovate and streamline workflows, Kevin combines his technical skills, entrepreneurial mindset, and leadership abilities to create solutions that empower professionals in the veterinary industry and beyond.
Connect with Kevin:
