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Veterinary X-ray system SignalRAY®
digitalportable

veterinary X-ray system
veterinary X-ray system
veterinary X-ray system
veterinary X-ray system
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Characteristics

Type of system
veterinary X-ray system
Technology
digital
Ergonomics
portable

Description

Simplified 24/7 real-time test panels for most clinical findings in routine veterinary radiographs SignalRAY patented technology is an advanced technology that utilizes AI and deep machine learning to assess companion animal radiographs in real time to provide proven, reliable results on 50+ radiographic test results in 10 minutes or less. Our industry-leading artificial intelligence provides objective, consistent, data-driven results on radiographic studies to support you, the veterinary practitioner, with the information and confidence to make the best possible decisions and ensure high-quality outcomes for your patients and clients. SignalRAY offers the most cutting edge technology in veterinary medicine for accurate real-time results at the point of care, at affordable prices. SignalRAY's patented veterinary AI technology uses machine learning to assess companion animal radiographs in real time for normals and abnormals to aid practitioners in the diagnostic process. Our 50+ currently supported test panels were chosen specifically to provide clinicians with point-of-care decision making support for over 80% of cases where radiographs are utilized in general and emergency practices – vomiting, coughing, diarrhea and lameness. A major benefit of AI is that it can decipher digital images and detect abnormalities in a more comprehensive and superior manner to that of the human eye. It looks at every film in its entirety, every time. It is not subject to human errors such as "tunnel vision" or subjectivity.

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*Prices are pre-tax. They exclude delivery charges and customs duties and do not include additional charges for installation or activation options. Prices are indicative only and may vary by country, with changes to the cost of raw materials and exchange rates.