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Diagnosis of Suspected Scaphoid Fractures
Paul H.C. Stirling
,
Jason A. Strelzow
, Job N. Doornberg
, Timothy O. White
, Margaret M. McQueen
, Andrew D. Duckworth
Division of Hand Surgery
Research output
:
Contribution to journal
›
Review article
›
peer-review
17
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Scopus citations
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Keyphrases
Scaphoid Fracture
100%
Suspected Scaphoid Fracture
100%
Positive Predictive Value
66%
Convolutional Neural Network
66%
Statistical Methods
33%
Surgeons
33%
Negative Predictive Value
33%
Diagnostic Test
33%
Radiograph
33%
Sensitivity Specificity
33%
Imaging Techniques
33%
Risk Stratification
33%
Clinical Factors
33%
Immobilization
33%
Nonunion
33%
Activity Limitations
33%
Young Population
33%
Diagnostic Performance
33%
Prospective Evaluation
33%
Radiographic Evaluation
33%
Demographic Factors
33%
Machine Learning
33%
Therapeutic Challenges
33%
Artificial Intelligence
33%
Clinical Prediction Rule
33%
Diagnostic Challenge
33%
Pre-test Probability
33%
Calculator
33%
Secondary Imaging
33%
Active Population
33%
Missed Fracture
33%
Statistical Probability
33%
Medicine and Dentistry
Scaphoid Fracture
100%
Prevalence
20%
Sensitivity and Specificity
20%
Imaging Technique
20%
Risk Stratification
20%
Nonunion
20%
Clinical Prediction Rule
20%
Diagnostic Performance
20%
Diagnostic Test
20%
Artificial Intelligence
20%
Experienced Surgeon
20%
Veterinary Science and Veterinary Medicine
Nonunion
100%
Prevalence
100%