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 intelligence (AI) system for real-time automated recognition of the gastric antrum CSA and motility rhythm using bedside ultrasound. Gastric antrum ultrasound videos were prospectively collected from West China Hospital to establish training and validation datasets. The AI system's predictions were validated against senior clinicians' annotations to assess accuracy. Additionally, videos were collected to evaluate the performance of the AI system. The antrum motility rhythms of patients and volunteers were pr

SUBMITTER: Zou T 

PROVIDER: S-EPMC12015460 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature