Evaluating artificial intelligence algorithms for use in veterinary radiology.

Journal: Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association
Published Date:

Abstract

Artificial intelligence is increasingly being used for applications in veterinary radiology, including detection of abnormalities and automated measurements. Unlike human radiology, there is no formal regulation or validation of AI algorithms for veterinary medicine and both general practitioner and specialist veterinarians must rely on their own judgment when deciding whether or not to incorporate AI algorithms to aid their clinical decision-making. The benefits and challenges to developing clinically useful and diagnostically accurate AI algorithms are discussed. Considerations for the development of AI research projects are also addressed. A framework is suggested to help veterinarians, in both research and clinical practice contexts, assess AI algorithms for veterinary radiology.

Authors

  • Steve Joslyn
    ACVR/ECVDI AI Education and Development Committee, Vedi, Perth, Western Australia, Australia.
  • Kate Alexander
    ACVR/ECVDI AI Education and Development Committee, DMV Veterinary Center, Lachine, Quebec, Canada.