[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"high-risk-cardiac-patients\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:high-risk-cardiac-patients":25},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,45],{"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":4,"briefSummary":23,"conditions":24,"keywords":26,"overallStatus":32,"whyStopped":4,"lastUpdateSubmitDate":33,"lastUpdatePostDateStruct":34,"startDateStruct":37,"completionDateStruct":39,"leadSponsor":41,"locationsCount":44},"100618586","registry-study-for-the-evaluation-of-high-risk-cardiac-patients-by-willem-ai-based-ecg-platform-100618586",false,"NCT07333547","Registry Study for the Evaluation of High-risk Cardiac Patients by WILLEM AI-based ECG Platform","WILLEMRegistry","Inclusion Criteria:\n\n* EC\u002FIRB approval of ICF waiver prior to recruitment; otherwise, signed informed consent form by subject and investigator\n* Age \\> 18 years-old, with no upper limit\n* Subjects undergoing standard of care electrocardiogram (ECG) of any duration from any hardware device\n* All available, but at least one, legible ECG tracings in raw data format (e.g. DICOM, XML, EDF, JSON, HL7, SCP, WFDB, CSV, etc.)\n* Available subject clinical data associated with the ECG\n* For 12-lead ECGs, a minimum length of 10 seconds at a minimum sample frequency of 250 Hz\n* For ECGs from Holters, wearables, patches, insertable cardiac monitors, telemetries, etc., a minimum length of 30 seconds at a minimum sample frequency of 200 Hz with a lead I \u002F II or its MCL-DII lead approximation\n* For prospective eligibility only:\n* Signed informed consent form, unless previously waived by the EC\u002FIRB\n* Site technical viability for ECG and subject clinical data transfer (e.g. end-to-end integration following interoperability standards such as FHIR, HL7 or DICOM)\n\nExclusion Criteria:\n\n* Unavailable or suboptimal quality of the raw data from the ECG signal\n* Age \\\u003C 18 years-old",true,"ALL","18 Years",{"count":20,"type":21},200000,"ESTIMATED","OBSERVATIONAL","The WILLEM Registry is a large-scale, single-group, observational, registry study to collect continuous clinical evidence of Willem in real-world settings. Cardiovascular diseases are a major problem for public health and healthcare systems. Electrocardiograms (ECGs) are simple tests which increase diagnostic performance and early detection of cardiovascular diseases. However, its interpretation is complex, time consuming for cardiology experts, and entails high costs for healthcare systems. Willem allows AI-based automatic interpretation and its performance has been examined in previous clinical trials, but additional clinical evidence is needed for its integration in real-world clinical settings. This study will collect clinical evidence of Willem performance to detect cardiac abnormalities in ECGs from high-risk cardiac patients admitted to cardiovascular units.",[25],"High-risk Cardiac Patients",[27,28,29,30,31],"artificial intelligence","electrocardiogram","deep learning","cardiac disease","registry","RECRUITING","2026-07-01",{"date":35,"type":36},"2026-07-02","ACTUAL",{"date":38,"type":36},"2026-02-03",{"date":40,"type":21},"2036-01",{"name":42,"class":43},"Idoven 1903 S.L.","INDUSTRY",5,{"id":46,"slug":47,"hasResults":11,"nctId":48,"briefTitle":49,"officialTitle":50,"acronym":4,"eligibilityCriteria":51,"healthyVolunteers":11,"sex":17,"minAge":52,"maxAge":4,"enrollmentInfo":53,"targetDuration":4,"studyType":55,"phases":56,"briefSummary":58,"conditions":59,"keywords":4,"overallStatus":71,"whyStopped":4,"lastUpdateSubmitDate":72,"lastUpdatePostDateStruct":73,"startDateStruct":75,"completionDateStruct":77,"leadSponsor":79,"locationsCount":82},"100637399","unilateral-ventilation-on-cardiopulmonary-bypass-during-cardiac-surgery-100637399","NCT07612709","Unilateral Ventilation on Cardiopulmonary Bypass During Cardiac Surgery","Unilateral Ventilation on Cardiopulmonary Bypass During Cardiac Surgery in Patients at Increased Risk for Severe Postoperative Pulmonary Complications","Inclusion Criteria:\n\n* Patients at increased risk for postoperative pulmonary complications\n* Major elective cardiac surgery\n* Prolonged duration of cardiopulmonary bypass\n* Patients older than 65 years of age\n* Informed consent\n\nExclusion Criteria:\n\n* Emergency\n* Urgent procedures\n* Patients with implanted pacemakers\n* Patients with internal cardioverter\u002Fdefibrillators\n* Decompensated cardiac disease\n* Pulmonary disease\n* Recent pneumonia\n* Need for temporary perioperative mechanical support\n* Patients not willing to participate\n* Treatment with inhaled nitric oxide","65 Years",{"count":54,"type":21},45,"INTERVENTIONAL",[57],"NA","This study investigates if single lung ventilation on cardiopulmonary bypass can mitigate postoperative lung water accumulation determined by lung ultrasound in the ventilated lung as compared to the non-ventilated lung in patients at high-risk for developing severe pulmonary complications after cardiac surgery.",[60,61,25,62,63,64,65,66,67,68,69,70],"Lung Protective Ventilation","Cardiopulmonary Bypass","Lung Ultrasound","Lung Water Assessment","Pulmonary Complications in Surgical Patients","Single-lung Ventilation","Chest X-ray for Clinical Evaluation","Electrical Impedance Tomography (EIT)","Lung Compliance","Oxygenation Indices","Biomarkers of Vascular Endothelial Injury","NOT_YET_RECRUITING","2026-05-24",{"date":74,"type":36},"2026-05-29",{"date":76,"type":21},"2026-10-01",{"date":78,"type":21},"2029-07-31",{"name":80,"class":81},"Medical University of Vienna","OTHER",1]