AZmed News shares updates on AI medical imaging, product releases, and industry developments.
Comparison
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AI detection of appendicular fractures in children/scientific-evidence/comparison-of-diagnostic-performance-of-a-deep-learning-algorithm-emergency-physicians-junior-radiologists-and-senior-radiologists-in-the-detection-of-appendicular-fractures-in-children
To evaluate the performance of an AI algorithm based on deep neural networks toward detecting traumatic appendicular fractures in a pediatric population. To compare sensitivity, specificity, positive predictive value and negative predictive value of different readers and the AI algorithm.
AZmed’s AI for radiology enhances patient care quality. Built with medical-grade algorithms, these AI-powered solutions support radiologists in optimizing X-ray analysis across fracture detection, chest abnormalities, osteo-articular measurements, and bone age assessment.
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