[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"acute-cardiopulmonary-disease\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:acute-cardiopulmonary-disease":29},{"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":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":31,"overallStatus":40,"whyStopped":4,"lastUpdateSubmitDate":41,"lastUpdatePostDateStruct":42,"startDateStruct":45,"completionDateStruct":47,"leadSponsor":49,"locationsCount":5},"100648876","er-vision-ai-study-100648876",false,"NCT07727590","ER-VISION-AI Study","Multimodal Visual Language Model-Assisted Diagnostic Strategy in the Emergency Department: A Prospective Multicenter Randomized Controlled Trial (ER-VISION-AI Study)","ER-VISION-AI","Inclusion Criteria:\n\n* Age ≥18 years\n* Presentation to a participating emergency department with acute cardiopulmonary symptoms, including chest pain, dyspnea, palpitations, syncope, dizziness, or fever accompanied by cardiopulmonary symptoms\n* Performance of both a standard 12-lead electrocardiogram and chest radiography during the initial emergency department evaluation\n* Availability of initial clinical assessment, vital signs, laboratory findings, and all mandatory clinical information required for the multimodal AI workflow\n* Expected emergency department observation or hospital admission for at least 24 hours\n* Ability and willingness to provide written informed consent\n\nExclusion Criteria:\n\n* Inability or refusal to provide written informed consent\n* Requirement for immediate life-saving intervention that precludes completion of the study workflow\n* Death before completion of the initial emergency department diagnostic assessment\n* Electrocardiographic quality insufficient for reliable physician or Artificial intelligence (AI) interpretation\n* Chest radiographic quality insufficient for reliable physician or Artificial intelligence (AI) interpretation\n* Cardiac pacing rhythm\n* Missing mandatory clinical information required for the multimodal Artificial intelligence (AI) workflow\n* Previous enrollment in the ER-VISION-AI trial\n* Inability to establish a blinded adjudicated reference diagnosis","ALL","18 Years",{"count":20,"type":21},1000,"ESTIMATED","INTERVENTIONAL",[24],"NA","Prospective, multicenter, randomized, open-label, blinded-endpoint (PROBE-like) clinical trial evaluating whether physician-supervised Generative Pre-trained Transformer (GPT)-assisted multimodal diagnostic support improves diagnostic concordance in emergency department patients presenting with acute cardiopulmonary symptoms.",[27,28,29,30],"Chest Pain","Dyspnea","Acute Cardiopulmonary Disease","Emergency Department Patients",[32,33,34,35,36,37,38,39],"Artificial intelligence","Large language model","Emergency department","Electrocardiography","Chest radiography","Multimodal AI","Clinical decision support","Randomized controlled trial","NOT_YET_RECRUITING","2026-07-21",{"date":43,"type":44},"2026-07-27","ACTUAL",{"date":46,"type":21},"2027-01-01",{"date":48,"type":21},"2029-12-31",{"name":50,"class":51},"Ewha Womans University Mokdong Hospital","OTHER"]