Accuracy of an Artificial Intelligence-Based Model for Estimating Leftover Liquid Food in Hospitals: Validation Study.

Masato Tagi Mari Tajiri Yasuhiro Hamada Yoshifumi Wakata Xiao Shan Kazumi Ozaki Masanori Kubota Sosuke Amano Hiroshi Sakaue Yoshiko Suzuki Jun Hirose

Published in: JMIR formative research (2022)

) was similar to that of the visual estimation method for the total. AI estimation measures liquid food intake in hospitals more precisely than visual estimation, but its accuracy in estimating staple food leftovers requires improvement.

Keyphrases

artificial intelligence
machine learning
big data
deep learning
healthcare
risk assessment
climate change