Veterinary Radiology Image Search

The ACVR is aware of Vetology’s work in machine learning and artificiaI intelligence for veterinary radiology. To date, they have not provided an opinion. We believe the technology and market are in their early stages and the ACVR's participation will evolve as adoption becomes more widespread. The American College of Radiology (ACR) which is the human radiology organization equivalent to the ACVR has fully embraced AI as part of radiology’s future.

​Vetology AI Guardian software currently has a 92% match rate between the computer-generated report compared to a radiologist’s findings.  As the quantity of images increases and corresponding case write-ups are added the percentage will continue to improve over time.

​This functionality is beyond AI's current capability.

​Yes. Built into ​our software is the ability to auto-send ​images to multiple platforms. The preferred model is for customers to leverage the ​AI Guardian software for a computer-generated evaluation and continue to use their existing radiology relationships for in-depth case reviews.

​The residency program to become a board-certified veterinary radiologist is lengthy and limited with 4 to 5 applicants every year.  Vetology, in conjunction with VICSD and the American Association of Veterinary Radiologists (AAVR), created a training program for DVMs interested in radiology to train for 1 year under ACVR radiologists. During and after this time, these DVMs continue to work under the guidance of an ACVR diplomate (a Vetologist) or are accepted into ACVR approved residency programs.

​While the ACVR does not have a formal position statement on the Vetologist training, every year Vetologists are selected for ACVR approved residencies because of their existing knowledge base and skill set in veterinary radiology. Given the lack of veterinary radiology resources, we see an ongoing need for the Vetologist role.

​Connectivity is setup strictly for the existing digital imaging system to push DICOM images to Vetology via the LION software.

​Vetology only captures the DICOM information already embedded within the case. This is to allow the AI Guardian evaluation report to be distinguished ​from other reports.

​Yes. The capability does exist for Vetology to load reports directly into certain practice management software. This can be designed and configured as a professional service for a small additional fee.

​The speed is based on the clinic’s internet connection speed, their network environment, and number of images being sent.  Based on a typical cable bandwidth, customers generally receive reports ​in under 5 minutes.

​Yes, and, the Vetology platform is a multi-tenant environment.  A shared database exists for all images and cases.  Each customer is only able access their own images and cases.

Vetology is a software as a Service (SaaS).  The application is based on standard web-services that deliver content on modern HTML5 browsers such as Chrome and Firefox. It applies machine learning techniques and artificial intelligence for veterinary radiology.

​The company started in 2010 to provide efficiencies in sharing cases and images between clinics, radiologists, and hospitals.  Along with the AI Guardian software, Vetology offers teleradiology services in the platform to ​3,000  customers and growing.  In 2017, Vetology started developing the latest platform leveraging AI and machine learning for radiograph analysis.

​The AI Guardian evaluation reports are sent as a PDF attachment to the clinic email address on file.