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

2024-11-25

Abstract excerpt

<title>Abstract</title> <p>Background The cross-sectional area (CSA) of the gastric antrum and its motor rhythm reflect the gastrointestinal function of critically ill patients. Monitoring the CSA and motor rhythm is important but time-consuming and operator dependent. This study aimed to develop an artificial intelligence (AI) system for real-time automated recognition of the CSA and movement rhythm of the gast...

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Literature Corpus work
5c54492a-f21f-5b99-be4f-96a2c79dc30b
DOI
10.21203/rs.3.rs-5402616/v1
Open publication

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Artificial intelligence real-time automated recognition of the gastric antrum cross-sectional area and movement rhythm via bedside ultrasound: A pilot studyDOI 10.21203/rs.3.rs-5402616/v1
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