Key result
Advanced cardiovascular imaging and deep learning enhance diagnosis and prognosis in small animal cardiology.
Why the study?
Cardiovascular disease is an important field of application for diagnostic imaging in small animal practices, where imaging has expanded the diagnostic capabilities of veterinary clinicians.
Answers are grounded in this paper and cite their sources.
May guide imaging selection in small animal cardiology; leaves open prospective validation of deep learning applications.
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Diana et al. (2020) conducted an editorial in Cardiovascular disease in small animals (dogs and cats). Diagnostic cardiac imaging modalities (thoracic radiography, echocardiography, CT, MRI, and deep learning) was evaluated. Cardiovascular imaging modalities including radiography, echocardiography, CT, MRI, and deep learning have expanded the diagnosis and prognosis of cardiovascular disease in small animals.
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