Assessment of an artificial intelligence aid for the detection of appendicular skeletal fractures in children and young adults by senior and junior radiologists

Background As the number of conventional radiographic examinations in pediatric emergency departments increases, so, too, does the number of reading errors by radiologists. Objective The aim of this study is to investigate the ability of artificial intelligence (AI) to improve the detection of fract...

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Veröffentlicht in:Pediatric radiology 2022-10, Vol.52 (11), p.2215-2226
Hauptverfasser: Nguyen, Toan, Maarek, Richard, Hermann, Anne-Laure, Kammoun, Amina, Marchi, Antoine, Khelifi-Touhami, Mohamed R., Collin, Mégane, Jaillard, Aliénor, Kompel, Andrew J., Hayashi, Daichi, Guermazi, Ali, Le Pointe, Hubert Ducou
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Sprache:eng
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