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American Heart Association

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Final ID:

AI Based Detection of Concealed Long QT Syndrome in an EHR System

  • Ackerman, Michael  ( Mayo Clinic , Rochester , Minnesota , United States )
  • Noseworthy, Peter  ( MAYO CLINIC , Rochester , Minnesota , United States )
  • Author Disclosures:
    Michael Ackerman: DO have relevant financial relationships ; Consultant:Abbott:Active (exists now) ; Royalties/Patent Beneficiary:UpToDate:Active (exists now) ; Royalties/Patent Beneficiary:Thryv Therapeutics:Active (exists now) ; Royalties/Patent Beneficiary:Solid Biosciences:Active (exists now) ; Royalties/Patent Beneficiary:Prolaio:Active (exists now) ; Royalties/Patent Beneficiary:ARMGO Pharma:Active (exists now) ; Royalties/Patent Beneficiary:AliveCor:Active (exists now) ; Consultant:Tenaya Therapeutics:Active (exists now) ; Consultant:Medtronic:Active (exists now) ; Consultant:Invitae:Past (completed) ; Consultant:Illumina:Active (exists now) ; Consultant:Bristol Myers Squibb:Past (completed) ; Consultant:Boston Scientific:Active (exists now) ; Consultant:BioMarin Pharmaceutical:Past (completed) | Peter Noseworthy: DO have relevant financial relationships ; Royalties/Patent Beneficiary:Anumana:Active (exists now)
Meeting Info:

Scientific Sessions 2025

2025

New Orleans, Louisiana

Session Info:

AI-enabled Digital Health for Scalable Management of Rhythm Disorders

Saturday, 11/08/2025 , 09:45AM - 11:00AM

Cardiovascular Seminar

More abstracts on this topic:
Community based detection of rhythm disorders

Svennberg Emma, Chow Clara, Chung Mina, Winter Michiel

AI-enabled assessment of ECG to define cardiovascular risk and outcomes

Aminorroaya Arya, Biswas Dhruva

More abstracts from these authors:
An Artificial Intelligence Machine Learning Algorithm Approach Using Segmental ECG Analysis to Distinguish Long QT Syndrome from Acquired QT Prolongation

Bos Johan, Liu Kan, Attia Zachi, Noseworthy Peter, Friedman Paul, Ackerman Michael

Electrocardiographic Aging in Genetic Cardiomyopathies: Insights from an Artificial Intelligence-Enabled Electrocardiogram Analysis

Sularz Agata, Ackerman Michael, Giudicessi John, Castrichini Matteo, Garmany Ramin, Bos Johan, Attia Zachi, Noseworthy Peter, Friedman Paul, Lopez-jimenez Francisco, Milone Margherita

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