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Embracing AI in Veterinary Medicine: Enhancing Efficiency and Patient Care

This course provides an in-depth understanding of Artificial Intelligence (AI) in the field of veterinary medicine. It covers foundational AI concepts, types of AI (supervised, unsupervised, and reinforcement learning), and their applications in veterinary practice. The course explores various AI tools, their integration into veterinary practices for improved efficiency and patient care and addresses the ethical and practical implications of AI in veterinary medicine. It also discusses the role of AI in radiology, urinalysis, and other diagnostic tools, alongside its potential in telemedicine and personalized pet care.

Learning Objectives:

  • Understand the Basics of AI in Veterinary Medicine: Gain a foundational understanding of AI, machine learning, and their relevance in veterinary practices.
  • Explore AI Applications: Learn about various AI applications in veterinary diagnostics, patient care, and management.
  • Implement AI in Practice: Understand how to integrate AI tools into veterinary practice for enhanced efficiency and patient care.
  • Ethical Considerations and Limitations: Recognize the ethical considerations and limitations of using AI in veterinary medicine, including regulatory aspects.
  • Future of AI in Veterinary Medicine: Explore the future potential of AI and its role in transforming veterinary practices.

Continuing Education (CE):
RACE #20-1163016
Category: Non-Medical
Hour(s): Veterinarians: 1.0  |  Veterinary Technicians: 1.0
*Approved CE credit hours for all state and provincial boards in United States & Canada via AAVSB*

VHMA ID: 23-68
Hour(s): 1.0 (online delivery)

AAHA Members: Free
Non-Members: Free