Validation and algorithmic audit of a deep learning system for the detection of proximal femoral fractures in patients in the emergency department: a diagnostic accuracy study

Author:

Oakden-Rayner Lauren,Gale William,Bonham Thomas A,Lungren Matthew P,Carneiro Gustavo,Bradley Andrew P,Palmer Lyle J

Publisher

Elsevier BV

Subject

Health Information Management,Decision Sciences (miscellaneous),Health Informatics,Medicine (miscellaneous)

Reference33 articles.

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3. Prevalence of traumatic hip and pelvic fractures in patients with suspected hip fracture and negative initial standard radiographs—a study of emergency department patients;Dominguez;Acad Emerg Med,2005

4. Imaging choices in occult hip fracture;Cannon;J Emerg Med,2009

5. Association between wait time and 30-day mortality in adults undergoing hip fracture surgery;Pincus;JAMA,2017

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