The ACVR is aware of Vetology’s work in AI and machine learning. We believe the technology and market is in its infancy and their participation will evolve as the market becomes more widespread. Like Vetology AI, both the ACVR, and it’s human medicine counterpart, the American College of Radiology (ACR), have positions on AI that embraced responsible development of AI applications as part of radiology’s future.

Vetology 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 overtime.

This capability does not exist today.

Built into the platform is the ability to send the images to multiple platforms. The preferred model is for customers to leverage the platform for the computer-generated evaluation and continue to use their existing radiology relationships for in-depth case review.

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 the need for the Vetologist role.

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

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

The capability does exist for Vetology to load reports directly into certain practice management software.  This is not part of the current Vetology system but can be configured as a professional service for a small additional fee.

The speed is based on the clinic’s network environment and number of images being sent.  Based on a typical cable bandwidth, customers are generally receiving reports delivered in under 5 minutes.

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.

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

The evaluation reports are saved to the Vetology cloud, under the patient, where you the DVM can view it at any time.