How artificial intelligence is improving veterinary diagnostics
This month, dvm360’s November 2020 cover article by SignalPET co-founder and chief medical officer, Dr. Neil Shaw DACVIM, discusses how the use of deep learning algorithms for diagnostic imaging in your veterinary practice can improve the care you provide, save money for your clinic and clients, and enhance customer satisfaction.
While computer-based machine learning has been around for some time in the medical field, it is only recently that it has been utilized to help veterinary medicine for diagnostic purposes in radiology. The issue that brought attention to this tool was, and still is, the scarcity of relevant resources to interpret imaging results in a timely manner. Additionally, studies show that pet owners in our modern era expect superior service, beyond medical expertise, including speed, convenience, and savings. Artificial Intelligence (AI) delivers on these needs; providing rapid insights while circumventing costly specialists, and being readily available at all times. This new technology has allowed for innovation solutions that provide accurate diagnosis, and empowers veterinarians to provide better care, further meeting the needs of their patients.
These machines act as the perfect tool to aid challenges in care delivery. They are not meant to replace humans, but work alongside to improve efficiency and technological progression in the medical world.
Neil Shaw, DVM, DACVIM, is the founder and CMO of SignalPET, an innovative artificial intelligence provider working towards this progression, advancing AI technology to help independent veterinarians expand their range of care.
If you’d like to learn more about how to utilize artificial intelligence for diagnostic imaging at your veterinary practice, or would like a 1-week free trial of SignalPET, request a demo with a SignalPET specialist.