[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100599384":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":12,"centralContacts":16,"locations":22,"responsibleParty":44,"collaborators":10,"id":46,"slug":10,"hasResults":47,"nctId":48,"briefTitle":49,"officialTitle":49,"acronym":50,"eligibilityCriteria":51,"healthyVolunteers":47,"sex":52,"minAge":53,"maxAge":54,"enrollmentInfo":55,"targetDuration":10,"studyType":58,"phases":10,"briefSummary":59,"conditions":60,"keywords":64,"overallStatus":69,"whyStopped":10,"lastUpdateSubmitDate":70,"lastUpdatePostDateStruct":71,"startDateStruct":74,"completionDateStruct":76,"leadSponsor":78,"locationsCount":79},{"fullName":5,"class":6},"Imperial College London","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":10},"Patients with manifest pre-excitation",null,"Patients with a previous ECG demonstrating manifest pre-excitation, referred for an electrophysiology study as part of their clinical care",[13],{"name":14,"affiliation":5,"role":15},"Ahran Arnold, PhD","PRINCIPAL_INVESTIGATOR",[17],{"name":18,"role":19,"phone":20,"phoneExt":10,"email":21},"Keenan Saleh, MBBS","CONTACT","+442033132243","keenan.saleh10@imperial.ac.uk",[23],{"facility":24,"status":10,"city":25,"state":10,"zip":26,"country":27,"cosmosGeoPoint":28,"geoPoint":33,"contacts":34},"Imperial College Healthcare NHS Trust","London","W12 0HS","United Kingdom",{"type":29,"coordinates":30},"Point",[31,32],-0.12574,51.50853,{"lat":32,"lon":31},[35,38,40,41],{"name":18,"role":19,"phone":36,"phoneExt":10,"email":37},"02033132243","k.saleh@nhs.net",{"name":14,"role":19,"phone":36,"phoneExt":10,"email":39},"ahran.arnold@imperial.ac.uk",{"name":14,"role":15,"phone":10,"phoneExt":10,"email":10},{"name":42,"role":43,"phone":10,"phoneExt":10,"email":10},"Zachary Whinnett, PhD","SUB_INVESTIGATOR",{"type":45,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR","100599384",false,"NCT07083791","AI-ECG Accessory Pathway Localisation Study","AAPLS","Inclusion Criteria:\n\n* Referred for EPS procedure as part of their clinical care, with a finding of pre-excitation on their ECG\n* Manifest pre-excitation on their ECG any time prior to their procedure\n* Able to give consent\n* Minimum age 13 years old\n* Maximum age 100 years old\n\nExclusion Criteria:\n\n* Unable to give consent\n* Adults \\> 100 years old\n* Children \\\u003C 13 years old\n* Patients with known location of their accessory pathway from a previous EP study","ALL","13 Years","100 Years",{"count":56,"type":57},100,"ESTIMATED","OBSERVATIONAL","This study seeks to validate the real-world accuracy of an AI-based algorithm for identifying the location of an accessory pathway from the 12-lead electrocardiogram",[61,62,63],"Accessory Pathway","Artifical Intelligence","ECG",[65,66,63,67,68],"AI-ECG","AI","Accessory pathway","Accessory pathway localisation","NOT_YET_RECRUITING","2025-07-21",{"date":72,"type":73},"2025-07-24","ACTUAL",{"date":75,"type":57},"2025-08-01",{"date":77,"type":57},"2027-03-01",{"name":5,"class":6},1]