2022
DOI: 10.1007/s00247-022-05496-3
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Assessment of an artificial intelligence aid for the detection of appendicular skeletal fractures in children and young adults by senior and junior radiologists

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Cited by 26 publications
(26 citation statements)
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“…A separate study on pediatric patients (2–21 years of age) found a per patient sensitivity of 91.3% with a specificity of 90%, with a low sensitivity of the AI for avulsion fractures [ 11 ]. Nguyen et al were able to find an increase in sensitivity in a retrospective dataset of pediatric patients for fracture detection (73.3% without AI, 82.8% with assistance), with an increase of 10.3% for junior radiologists and 8.2% for senior radiologists [ 12 ]. In our study a small subset of pediatric patients is included, representing the patients that presented to our institution’s emergency department.…”
Section: Discussionmentioning
confidence: 99%
“…A separate study on pediatric patients (2–21 years of age) found a per patient sensitivity of 91.3% with a specificity of 90%, with a low sensitivity of the AI for avulsion fractures [ 11 ]. Nguyen et al were able to find an increase in sensitivity in a retrospective dataset of pediatric patients for fracture detection (73.3% without AI, 82.8% with assistance), with an increase of 10.3% for junior radiologists and 8.2% for senior radiologists [ 12 ]. In our study a small subset of pediatric patients is included, representing the patients that presented to our institution’s emergency department.…”
Section: Discussionmentioning
confidence: 99%
“…Seven studies reported accuracy for diagnoses made by radiologists with and without the assistance of AI, including for lung-related abnormalities [28,[32][33][34], breast cancer [7,35], thyroid nodules [36], ETT placement [39], and fractures [37]. Measures of accuracy included the sensitivity, specificity, PPV, NPV, area under the receiver operating characteristic curve, F1 score, detection rate, and κ coefficient for inter-rater or reliability assessment.…”
Section: Effect Of Ai In Improving Accuracymentioning
confidence: 99%
“…AI-assisted radiologists had improved sensitivity by 6.2%, 4.6%, 0.6%, and 17.3% for each subgroup, respectively [28]. Nguyen et al divided radiologists into two subgroups based on their experience and found an improvement in sensitivity of 10.3% for residents and 8.2% for imaging experts [37]. Although no statistically significant results were found for specificity, some studies suggested increased specificity with AI assistance, including in the study by Calisto et al [35], the resident group in the study by Nguyen et al [37], and the pleural effusion group in the study by Ahn et al [28].…”
Section: Effect Of Ai In Improving Accuracymentioning
confidence: 99%
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