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A digital chest radiograph (left) is interpreted by a deep learning algorithm that identifies and annotates the presence or absence of consolidation, hilar lymphadenopathy and heart enlargement (right) to assist with the diagnosis of tuberculosis in high prevalence areas where pediatric imaging specialists are scarce. Courtesy of Dr. Jaishree Naidoo/Envisionit Deep AI Ltd.
Radiology departments leading the way in artificial intelligence Available to Purchase
January 2, 2022
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