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A burgeoning field in human and veterinary medicine is the application of artificial intelligence to improve clinical diagnosis. The purpose of this prospective, diagnostic accuracy, sensitivity, and specificity of an AI-based diagnostic pulmonary edema from thoracic radiographs was to determine the accuracy, sensitivity, and specificity of an AI-based diagnostic aid for diagnosing canine cardiogenic pulmonary edema from thoracic radiographs, according to an American College of Veterinary Radiology-certified veterinary radiologist's interpretation as the reference standard. Findings supported using AI software screening for thoracic radiographs of dogs with suspected cardiogenic pulmonary edema to help with short-term decision-making when a radiologist is out of options.
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