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...
| Publicado en: | British Journal of Hospital Medicine (17508460) Vol. 85; no. 8; pp. 1 - 16 |
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| Autores principales: | , , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Mark Allen Holdings Limited
Aug2024
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| Acceso en línea: | Ver este registro en EBSCOhost |