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About Deep Neural Network Improves Fracture Detection by Clinicians
This document discusses a study that developed a deep neural network to detect fractures in radiographs. The model was trained using annotations from 18 orthopedic surgeons on over 135,000 radiographs. Researchers then conducted a controlled experiment providing emergency medicine clinicians radiographs to evaluate with and without the assistance of the deep learning model. On average, clinicians' sensitivity improved from 80.8% unaided to 91.5% aided, and specificity improved from 87.5% unaided to 93.9% aided. The model helped reduce clinicians' misinterpretation rate by an average of 47.0%. The results demonstrate that deep learning can help generalist clinicians achieve diagnostic accuracy closer to subspecialists by delivering expertise to the front lines of
Detailed Information
| Author: | ['Sangat Baik'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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