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AI for Gastric POCUS ( Point-of-care Ultrasound)

Recruitingn/aAges 18 Years - anyAllUniversity Health Network, Toronto
NCT07580456 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

The goal of this observational study is to train and test an AI (Artificial Intelligence)-based program to assist anesthesiologists in the interpretation of stomach ultrasound images and differentiate a "full" from an "empty" stomach. It is a healthy-volunteer study, where the participants will undergo ultrasound examination of their stomach at three different time points to visualize the stomach contents. These are at fasting state, after taking some solid food and after taking some water. Here, the participants will be randomized to receive one of five different types solid foods and one of five different volumes of water. The stomach ultrasound images will then be used to train and test the accuracy of the model to diagnose the type of stomach content (nothing vs. clear fluid vs. solid food)

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📋 Eligibility rules (as published)
Inclusion Criteria: A. Inclusion Criteria at the level of the participants * Participants must meet all the following inclusion criteria to be eligible for the study: * Aged ≥18 years * Any sex * Be healthy B. Inclusion Criteria at the level of the input data • Transverse ultrasound images (10 sec clips) of the gastric antrum in the epigastric area that contain all these structures: * The edge of the left lobe of the liver * The gastric antrum * The pancreas * The aorta Exclusion Criteria: A. Exclusion Criteria at the level of the participants * Participants meeting any of the following exclusion criteria are ineligible for the study: * Previous gastro-esophageal surgery (e.g., gastric by-pass, sleeve gastrectomy, fundoplication, partial gastrectomy) * Allergy to any of the food that will be provided. B. Exclusion Criteria at the level of the input data • Ultrasound images (10 sec clips) where the gastric antrum cannot be positively identified.
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What it tests

  • Not listed
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Where

1 site
Toronto Western Hospital, University Health Network
Toronto, Canada
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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