Artificial Intelligence in Fracture Detection: A Systematic Review and Meta-Analysis-Reference-Cited by-同舟云学术

Artificial Intelligence in Fracture Detection: A Systematic Review and Meta-Analysis

Published:2022-07 Issue:1 Volume:304 Page:50-62
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Kuo Rachel Y. L.^ORCID,Harrison Conrad^ORCID,Curran Terry-Ann^ORCID,Jones Benjamin^ORCID,Freethy Alexander,Cussons David,Stewart Max^ORCID,Collins Gary S.^ORCID,Furniss Dominic^ORCID

Funder

National Institute for Health Research (NIHR) Academic Clinical Fellowship

NIHR Doctoral Research Fellowship

Oxford NIHR Biomedical Research Centre

NIHR

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.211785

Reference64 articles.

1. Fracture incidence in adults in relation to age and gender: A study of 27,169 fractures in the Swedish Fracture Register in a well-defined catchment area

2. Trends in Fracture Incidence: A Population-Based Study Over 20 Years

3. Epidemiology of fractures in the United Kingdom 1988–2012: Variation with age, sex, geography, ethnicity and socioeconomic status

4. Systematic analysis of missed extremity fractures in emergency radiology

5. Radiological Review of Accident and Emergency Radiographs: A 1-Year Audit

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