[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100606717":3},{"organization":4,"armGroups":7,"interventions":20,"overallOfficials":26,"centralContacts":31,"locations":26,"responsibleParty":41,"collaborators":45,"id":48,"slug":49,"hasResults":50,"nctId":51,"briefTitle":52,"officialTitle":53,"acronym":54,"eligibilityCriteria":55,"healthyVolunteers":50,"sex":56,"minAge":57,"maxAge":26,"enrollmentInfo":58,"targetDuration":26,"studyType":61,"phases":62,"briefSummary":64,"conditions":65,"keywords":68,"overallStatus":74,"whyStopped":26,"lastUpdateSubmitDate":75,"lastUpdatePostDateStruct":76,"startDateStruct":79,"completionDateStruct":81,"leadSponsor":83,"locationsCount":26},{"fullName":5,"class":6},"Federal University of Minas Gerais","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Control - Specialist Interpretation Without AI","ACTIVE_COMPARATOR","Specialist physicians interpret normal ECGs without the assistance of the AI-ECG tool. ECGs are routine tracings performed by the Rede de Telemedicina de Minas Gerais (RTMG). Final classification for study endpoints will be based on a panel review by three specialists.",[13],"Diagnostic Test: Specialist ECG Interpretation Without AI",{"label":15,"type":16,"description":17,"interventionNames":18},"Specialist interpretation with AI assistance","EXPERIMENTAL","Specialist physicians interpret ECGs using the AI-ECG tool, which provides automated classification support indicating whether the ECG is normal or not. ECGs are routine tracings performed by RTMG. Final classification for study endpoints will be based on a panel review by three specialists.",[19],"Diagnostic Test: AI-Assisted ECG Interpretation (AI-ECG)",[21,27],{"type":22,"name":23,"description":24,"armGroupLabels":25,"otherNames":26},"DIAGNOSTIC_TEST","AI-Assisted ECG Interpretation (AI-ECG)","Neural network-based AI software that analyzes ECG tracings and provides a classification as normal suggestion to the interpreting specialist.",[15],null,{"type":22,"name":28,"description":29,"armGroupLabels":30,"otherNames":26},"Specialist ECG Interpretation Without AI","Manual interpretation of ECGs by specialists without AI support, following standard diagnostic procedures",[9],[32,37],{"name":33,"role":34,"phone":35,"phoneExt":26,"email":36},"Antonio Luiz P. Ribeiro, MD, PhD","CONTACT","55(31)3307-9201","alpr@ufmg.br",{"name":38,"role":34,"phone":39,"phoneExt":26,"email":40},"Gabriela Miana M. Paixão, MD, PhD","55(31) 3307-9201","gabimiana@gmail.com",{"type":42,"investigatorFullName":43,"investigatorTitle":44,"investigatorAffiliation":5,"oldNameTitle":26,"oldOrganization":26},"PRINCIPAL_INVESTIGATOR","Antonio Luiz Pinho Ribeiro","Full Professor, Internal Medicine Department, School of Medicine",[46],{"name":47,"class":6},"Uppsala University","100606717","evaluation-of-clinical-intelligence-support-to-reduce-errors-in-normal-ecgs-100606717",false,"NCT07179185","Evaluation of Clinical Intelligence Support to Reduce Errors in Normal ECGs","PRECISE-ECG: Prospective Randomized Evaluation of Clinical Intelligence Support to Reduce Errors in Normal ECGs","PRECISE-ECG","Inclusion Criteria:\n\n* ECGs performed routinely by the Rede de Telemedicina de Minas Gerais (RTMG)\n\nExclusion Criteria:\n\n* ECGs from patients younger than 18 years","ALL","18 Years",{"count":59,"type":60},710,"ESTIMATED","INTERVENTIONAL",[63],"NA","This study will evaluate the performance of specialist physicians in interpreting normal electrocardiograms (ECGs) with and without the assistance of an artificial intelligence (AI) neural network. The primary aim is to determine whether AI support affects the rate of false-positive interpretations of normal tracings. Secondary aims include evaluating the time required for interpretation, the sensitivity for detecting abnormalities, and the effect on false positives in ECGs with major abnormalities according to the Minnesota Code system. All ECGs in the sample will be reviewed by a panel of three specialists, to determine the reference classification.",[66,67],"Electrocardiogram","Cardiovascular Abnormalities",[69,70,71,72,73],"artificial intelligence","electrocardiography","diagnostic methods","telemedicine","normal electrocardiogram","NOT_YET_RECRUITING","2025-09-16",{"date":77,"type":78},"2025-09-22","ACTUAL",{"date":80,"type":60},"2025-10-01",{"date":82,"type":60},"2025-11",{"name":5,"class":6}]