Artificial intelligence real-time automated recognition of the gastric antrum cross-sectional area and motility rhythm via bedside ultrasound: a pilot study

Artificial intelligence real-time automated recognition of the gastric antrum cross-sectional area and motility rhythm via bedside ultrasound: a pilot study

Abstract The cross-sectional area (CSA) of the gastric antrum and its motility rhythm reflects the gastrointestinal function of critically ill patients. Monitoring the CSA and motility rhythm is crucial but remains time-consuming and operator dependent. This study aimed to develop an artificial inte...

Full description

Saved in:
Bibliographic Details
Main Authors: Tongjuan Zou, Hao He, Jing Yang, You Wu, Cao Lv, Lican Zhao, Wanhong Yin
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Gastric antrum
Artificial intelligence
Bedside ultrasound
Motility rhythm
Online Access:https://doi.org/10.1038/s41598-025-98974-1
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-98974-1

Similar Items