Deep learning for the radiographic diagnosis of proximal femur fractures: Limitations and programming issues

Volume: 107, Issue: 2, Pages: 102837 - 102837
Published: Apr 1, 2021
Abstract
Radiology is one of the domains where artificial intelligence (AI) yields encouraging results, with diagnostic accuracy that approaches that of experienced radiologists and physicians. Diagnostic errors in traumatology are rare but can have serious functional consequences. Using AI as a radiological diagnostic aid may be beneficial in the emergency room. Thus, an effective, low-cost software that helps with making radiographic diagnoses would be...
Paper Details
Title
Deep learning for the radiographic diagnosis of proximal femur fractures: Limitations and programming issues
Published Date
Apr 1, 2021
Volume
107
Issue
2
Pages
102837 - 102837
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