[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100639282":3},{"organization":4,"armGroups":7,"interventions":7,"overallOfficials":8,"centralContacts":12,"locations":19,"responsibleParty":39,"collaborators":7,"id":41,"slug":42,"hasResults":43,"nctId":44,"briefTitle":45,"officialTitle":46,"acronym":47,"eligibilityCriteria":48,"healthyVolunteers":49,"sex":50,"minAge":51,"maxAge":7,"enrollmentInfo":52,"targetDuration":7,"studyType":55,"phases":7,"briefSummary":56,"conditions":57,"keywords":59,"overallStatus":63,"whyStopped":7,"lastUpdateSubmitDate":64,"lastUpdatePostDateStruct":65,"startDateStruct":68,"completionDateStruct":70,"leadSponsor":72,"locationsCount":73},{"fullName":5,"class":6},"University Health Network, Toronto","OTHER",null,[9],{"name":10,"affiliation":5,"role":11},"Anahi Perlas","PRINCIPAL_INVESTIGATOR",[13],{"name":14,"role":15,"phone":16,"phoneExt":17,"email":18},"Jayanta Chowdhury, MBBS,MD","CONTACT","416-603-5800","2016","jayanta.chowdhury@uhn.ca",[20],{"facility":21,"status":7,"city":22,"state":23,"zip":24,"country":25,"countryCode":26,"cosmosGeoPoint":27,"geoPoint":32,"contacts":33},"Toronto Western Hospital, University Health Network","Toronto","Ontario","M5T 2S8","Canada","CA",{"type":28,"coordinates":29},"Point",[30,31],-79.39864,43.70643,{"lat":31,"lon":30},[34,37],{"name":35,"role":15,"phone":36,"phoneExt":7,"email":18},"Jayanta Chowdhury","4166035800",{"name":38,"role":11,"phone":7,"phoneExt":7,"email":7},"Anahi Perlas, MD, FRCPC",{"type":40,"investigatorFullName":7,"investigatorTitle":7,"investigatorAffiliation":7,"oldNameTitle":7,"oldOrganization":7},"SPONSOR","100639282","ai-for-gastric-pocus--point-of-care-ultrasound-100639282",false,"NCT07580456","AI for Gastric POCUS ( Point-of-care Ultrasound)","Development of an Artificial Intelligence Algorithm to Enhance the Gastric Point-of-care Ultrasound. A Proof-of-concept Study.","POCUS","Inclusion Criteria:\n\nA. Inclusion Criteria at the level of the participants\n\n* Participants must meet all the following inclusion criteria to be eligible for the study:\n\n  * Aged ≥18 years\n  * Any sex\n  * Be healthy\n\nB. 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:\n\n* The edge of the left lobe of the liver\n* The gastric antrum\n* The pancreas\n* The aorta\n\nExclusion Criteria:\n\nA. Exclusion Criteria at the level of the participants\n\n* Participants meeting any of the following exclusion criteria are ineligible for the study:\n\n  * Previous gastro-esophageal surgery (e.g., gastric by-pass, sleeve gastrectomy, fundoplication, partial gastrectomy)\n  * Allergy to any of the food that will be provided.\n\nB. Exclusion Criteria at the level of the input data\n\n• Ultrasound images (10 sec clips) where the gastric antrum cannot be positively identified.",true,"ALL","18 Years",{"count":53,"type":54},30,"ESTIMATED","OBSERVATIONAL","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.\n\nIt 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)",[58],"Point-of-care Ultrasound",[60,61,62],"Artificial Intelligence","POCUS (Point-of-care ultrasound)","Ultrasound","NOT_YET_RECRUITING","2026-05-06",{"date":66,"type":67},"2026-05-12","ACTUAL",{"date":69,"type":54},"2026-05-08",{"date":71,"type":54},"2027-12-31",{"name":5,"class":6},1]