Development and internal validation of an artificial intelligence-assisted bowel sounds auscultation system to predict early enteral nutrition-associated diarrhoea in acute pancreatitis: a prospective observational study.

Aims/Background An artificial intelligence-assisted prediction model for enteral nutrition-associated diarrhoea (ENAD) in acute pancreatitis (AP) was developed utilising data obtained from bowel sounds auscultation. This model underwent validation through a single-centre, prospective observational s...

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Bibliographic Details

Published in:	British Journal of Hospital Medicine (17508460) Vol. 85; no. 8; pp. 1 - 16
Main Authors:	Liu, Chengcheng, Wu, Li, Xu, Rui, Jiang, Zhiwei, Xiao, Xiaoping, Song, Nian, Jin, Qianhong, Dai, Zhengxiang
Format:	pictorial research tables/charts Journal Article
Published:	Mark Allen Holdings Limited Aug2024
Online Access:	View this record in EBSCOhost