Your mileage may vary: impact of data input method for a deep learning bone age app's predictions.

Paul H YiAlice C YuEmily A DunnHaris I Sair

Published in: Skeletal radiology (2021)

Our findings indicate that different data input methods can result in discordant bone age predictions from the 16Bit Bone Age app. Further study is needed to determine the impact of data input methods, such as smartphone image capture, on deep learning app performance and accuracy.

Keyphrases

deep learning
bone mineral density
electronic health record
big data
artificial intelligence
soft tissue
convolutional neural network
machine learning
body composition