Scientific Sessions 2025  /  AI-enabled Digital Health for Scalable Management of Rhythm Disorders  /  AI Based Detection of Concealed Long QT Syndrome in an EHR System
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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

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