A Deep Learning Approach to Identify Patients With Full Stomach on Ultrasonography

Overview

Preoperative gastric ultrasonography is a newly developed tool used to evaluate gastric content and volume in assessing perioperative aspiration risk and guide anaesthetic management. And then build up effective clinical predictive models for identification of full stomach, which can predict the high aspiration risk.

Aspiration of gastric contents can be a serious anesthetic related complication. Preoperative fasting was a common practice to decrease perioperative aspiration risk. However，one of most important prescription of enhanced recovery after surgery protocols is the reduction of preoperative fasting time in opposition to the traditional recommendation of overnight fast. Gastric antral sonography prior to anesthesia may have a role in identifying patients at risk of aspiration. The aim of this study is to construct models using deep learning for identification of full stomach, which can predict the aspiration risk.

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Central Contacts