Detecting pediatric appendicular fractures using artificial intelligence
Author:
Affiliation:
1. Etlik City Hospital, Turkey
2. Etlik City Hospital, Turkey; Etlik City Hospital, Turkey
3. Ostim Technical University, Turkey
Publisher
FapUNIFESP (SciELO)
Link
http://www.scielo.br/scielo.php?script=sci_pdf&pid=S0104-42302024000900601&tlng=en
Reference10 articles.
1. Pediatric fracture epidemiology and US emergency department resource utilization;Farrell C;Pediatr Emerg Care,2022
2. Frequently missed fractures in pediatric trauma: a pictorial review of plain film radiography;George MP;Radiol Clin North Am,2019
3. Artificial intelligence in fracture detection: a systematic review and meta-analysis;Kuo RYL;Radiology,2022
4. Artificial intelligence for radiological paediatric fracture assessment: a systematic review;Shelmerdine SC;Insights Imaging,2022
5. Artificial intelligence reporting guidelines: what the pediatric radiologist needs to know;Meshaka R;Pediatr Radiol,2022
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