[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"primary-care-provider\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:primary-care-provider":27},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":13,"acronym":14,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":4,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":30,"lastUpdatePostDateStruct":31,"startDateStruct":34,"completionDateStruct":36,"leadSponsor":38,"locationsCount":5},"100565062","deployment-and-evaluation-of-artificial-intelligence-software-for-electrocardiogram-analysis-and-management-in-primary-care-100565062",false,"NCT06637293","Deployment and Evaluation of Artificial Intelligence Software for Electrocardiogram Analysis and Management in Primary Care","DAISEA-ECG","Inclusion Criteria:\n\nFamily Physicians or Nurse Practitioners\n\nFamily physicians or nurse practitioners (NPs) practicing in one of the participating FMGs.\n\nFamily physicians who have given their free and informed consent. Patients\n\nAdult patients (18 years or older). Patients without follow-up in cardiology or internal medicine for cardiovascular issues (arrhythmia, heart failure, myocardial infarction, atherosclerotic coronary artery disease, valvular heart disease) or those who had a negative investigation in the past with no additional follow-up.\n\nECG\n\nAny 12-lead ECG performed with the MUSE GE 360 machine. ECG of adequate technical quality for interpretation (otherwise, it will be automatically rejected by the platform).\n\n\\-\n\nExclusion Criteria:\n\n* Family Physicians or Nurse Practitioners\n\nFamily physicians practicing exclusively in pediatrics (patients under 18 years old).\n\nFamily physicians unable to follow the project guidelines.",true,"ALL","18 Years",{"count":20,"type":21},2000,"ESTIMATED","INTERVENTIONAL",[24],"NA","The DAISEA-ECG project aims to improve the diagnosis of heart diseases in primary care through the DeepECG platform, which combines ECG-AI and ECHONeXT algorithms. This study uses a stepped wedge design, where each Family Medicine Group acts as its own control. The FMGs will gradually transition from the control period (without AI recommendations) to the intervention period (with AI recommendations activated) in a randomized sequence.\n\nThe primary objective is to compare the sensitivity of family physicians in detecting cardiac pathologies, with and without the assistance of the DeepECG platform. Sensitivity is defined as the proportion of patients correctly referred to cardiology or for transthoracic echocardiography (TTE) among those who indeed required cardiovascular evaluation, as confirmed by an independent adjudication committee.",[27,28],"Primary Care Provider","Structural Heart Disease","NOT_YET_RECRUITING","2025-09-18",{"date":32,"type":33},"2025-09-19","ACTUAL",{"date":35,"type":21},"2025-10-06",{"date":37,"type":21},"2027-03",{"name":39,"class":40},"Montreal Heart Institute","OTHER"]