A study by researchers at Tufts University, Cummings School of Veterinary Medicine tested Vetology AI’s accuracy in detecting pleural effusion in canine thoracic X-rays.
Accuracy, sensitivity, and specificity of the AI-based software compared to radiologist diagnosis were 92.3%, 91.3%, and 92.4%, respectively. Click to read more on whether the findings supported using AI software screening for thoracic radiographs of dogs with suspected cardiogenic pulmonary edema.
On the Veterinary Innovation Podcast, Dr. Seth Wallack of Vetology discusses how AI can help manage rising caseloads in radiology, the importance of adopting new tech, and why the best vets are those eager to keep learning.
Innovations in veterinary radiology: using AI to improve patient care. The implementation of artificial intelligence in the field of veterinary radiology allows doctors to receive crucial diagnostic information almost immediately.The world of medicine is constantly changing, and the veterinary medical field is no different. Technology is advancing rapidly, and the rule is to adapt to these changes or
Vetology’s AI for veterinary radiograph interpretations is eligible for pet insurance coverage, enhancing access to advanced diagnostic support for pets.