Clinical Evidence
Scholarly articles on how Vetology is reshaping the Veterinarian industry
Vetology Was Founded By a Group of Radiologists Trying to Solve Problems and Understand Your Clinics Needs,
Vetology is deeply aware that AI systems continue to play an important role in the medical domain. We are also acutely aware that wrong decisions of AI systems can be harmful. Our moto is that human and AI go better together and that is why we combined AI screening results with our teleradiology services and also why we seek out and encourage independent assessments of Vetology's technology by medical experts.
Scientific Independent Peer Review Studies of Vetology Ai
Comparison of Artificial Intelligence to the Veterinary Radiologist diagnosis of canine cardiogenic pulmonary edema
Accuracy, sensitivity, and specificity of the AI-based software compared to radiologist diagnosis were 92.3%, 91.3%, and 92.4%, respectively (positive predictive value, 56%; negative predictive value, 99%). Findings supported using AI software screening for thoracic radiographs of dogs with suspected cardiogenic pulmonary edema to assist with short-term decision-making when a radiologist is unavailable.
Accuracy of Artificial Intelligence software for the detection of confirmed pleural effusion in thoracic radiographs in dogs
The AI algorithm was able to determine the presence of pleural effusion with 88.7% accuracy (P < 0.05). The sensitivity and specificity were 90.2% and 81.8%, respectively (positive predictive value, 92.5%; negative predictive value, 81.8%). The application of this technology in the diagnostic interpretation of thoracic radiographs in veterinary medicine appears to be of value and warrants further investigation and testing.
Check Out Our Blog
Stay up to date on the latest in Veterinary Radiology and AI