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

Toan NguyenRichard MaarekAnne-Laure HermannAmina KammounAntoine MarchiMohamed R Khelifi-TouhamiMégane CollinAliénor JaillardAndrew J KompelDaichi HayashiAli GuermaziHubert Ducou Le Pointe

Published in: Pediatric radiology (2022)

With the help of AI, sensitivity increased by an average of 10% without significantly decreasing specificity in fracture detection in a predominantly pediatric population.

Keyphrases

artificial intelligence
young adults
machine learning
big data
deep learning
loop mediated isothermal amplification
real time pcr
label free
childhood cancer
african american
sensitive detection
hip fracture