[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100540242":3},{"organization":4,"armGroups":7,"interventions":7,"overallOfficials":7,"centralContacts":7,"locations":8,"responsibleParty":25,"collaborators":7,"id":27,"slug":28,"hasResults":29,"nctId":30,"briefTitle":31,"officialTitle":31,"acronym":7,"eligibilityCriteria":32,"healthyVolunteers":29,"sex":33,"minAge":34,"maxAge":35,"enrollmentInfo":36,"targetDuration":7,"studyType":39,"phases":7,"briefSummary":40,"conditions":41,"keywords":7,"overallStatus":10,"whyStopped":7,"lastUpdateSubmitDate":43,"lastUpdatePostDateStruct":44,"startDateStruct":47,"completionDateStruct":49,"leadSponsor":51,"locationsCount":52},{"fullName":5,"class":6},"Beijing Hospital","OTHER_GOV",null,[9],{"facility":5,"status":10,"city":11,"state":7,"zip":7,"country":12,"countryCode":13,"cosmosGeoPoint":14,"geoPoint":19,"contacts":20},"RECRUITING","Beijing","China","CN",{"type":15,"coordinates":16},"Point",[17,18],116.39723,39.9075,{"lat":18,"lon":17},[21],{"name":22,"role":23,"phone":7,"phoneExt":7,"email":24},"Fang Wang, Dr","CONTACT","bjh_wangfang@163.com",{"type":26,"investigatorFullName":7,"investigatorTitle":7,"investigatorAffiliation":7,"oldNameTitle":7,"oldOrganization":7},"SPONSOR","100540242","automated-echocardiographic-detection-of-coronary-artery-disease-using-artificial-intelligence-methods-100540242",false,"NCT06314295","Automated Echocardiographic Detection of Coronary Artery Disease Using Artificial Intelligence Methods","Inclusion Criteria:\n\n* Patients with suspected coronary artery disease\n* Patients plan to undergo coronary angiography\n\nExclusion Criteria:\n\n* Patients with aortic valve stenosis\n* Patients with aortic valve replacement surgery\n* Patients with hypertrophic cardiomyopathy\n* Patients with severe heart valve disease\n* Patients with severe arrhythmia\n* Patients with severe cardiomyopathy\n* Patients with severe congenital heart disease\n* The quality of ultrasound images is poor","ALL","18 Years","90 Years",{"count":37,"type":38},1500,"ESTIMATED","OBSERVATIONAL","The incidence rate and mortality of coronary artery disease are increasing year by year. Exploring non-invasive, accurate, and widely applicable methods to screen and diagnosis is of great significance. New ultrasound techniques, such as non-invasive myocardial work, have been proven to be superior to traditional ultrasound techniques in screening and diagnosis. However, diagnostic analysis based on ultrasound video images is time-consuming and subjective. The progress of artificial intelligence technology in fully automated quantitative evaluation of video images provides the possibility for computer-aided design screening and diagnosis. At present, the application of artificial intelligence in computer-aided design is a cutting-edge issue in the field of cardiovascular disease research. The application of artificial intelligence technology in the construction of computer-aided diagnostic models based on ultrasound video images is still in its early stages.",[42],"Coronary Artery Disease","2025-11-18",{"date":45,"type":46},"2025-11-21","ACTUAL",{"date":48,"type":46},"2024-03-11",{"date":50,"type":38},"2026-05-11",{"name":5,"class":6},1]