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Human and veterinary medicine's application of artificial intelligence to improve clinical diagnosis is burgeoning field. The aim of this prospective, diagnostic accuracy, sensitivity, and specificity of an AI-based medical diagnostic tool for diagnosing canine cardiogenic pulmonary edema from thoracic radiographs was determined by an American College of Veterinary Radiology-certified veterinary radiologist's interpretation as the reference model. Findings were based on AI software screening of thoracic radiographs of dogs with suspected cardiogenic pulmonary edema to help with short-term decision making when a radiologist is unavailable.
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