AI for Gastric POCUS ( Point-of-care Ultrasound)
Recruiting now
Conditions studied: Point-of-care Ultrasound
In brief
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)
Key facts
- Study ID
- NCT07580456
- Run by
- University Health Network, Toronto
- People needed
- 30
- Starts
- 2026-05-05
- Expected to finish
- 2027-12-31
- Last updated by the study team
- 2026-07-31
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- 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
You may not qualify if…
- 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.
Where it is running
- Toronto Western Hospital, University Health Network — Toronto, Ontario, Canada (enrolling)
Full record on ClinicalTrials.gov
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