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AI model detects atrial fibrillation risk based on subtle ECG variations

A new artificial intelligence (AI) model designed by Scripps Research scientists could help clinicians better screen patients for atrial fibrillation (or AFib)-;an irregular, fast heartbeat that is associated with stroke and heart failure.

Matteo gadaletaTranslational instituteScripps research translational instituteScripps research instituteScripps researchDigital medicineRhythm technologiesArtificial intelligenceAtrial fibrillationHeart failureMachine learning

New AI Model Could Revolutionize Atrial Fibrillation Screening

Scripps Research scientists have developed an innovative artificial intelligence (AI) model aimed at enhancing clinicians’ ability to screen patients for atrial fibrillation (AFib), a condition characterized by an irregular, rapid heartbeat linked to stroke and heart failure.

Lightspring shutterstockSkyla bailyMintu turakhiaMatteo gadaletaEric barnhillPatrick harringtonEvangelos hytopoulosStevenr steinhublScripps research translational instituteTranslational instituteScripps researchNational centerNational institute on agingProfessor of digital medicine at scripps researchTranslational sciencesCould revolutionize atrial fibrillation

New AI-powered Algorithm Could Better Assess People s Risk of Common Heart Condition

Early detection of atrial fibrillation can reduce the risk of stroke and heart failure, but screening people for the condition has been historically challenging

Matteo gadaletaTranslational instituteScripps research translational instituteScripps researchDigital medicineon decemberGiorgio querRhythm technologies

New AI-powered algorithm could better assess people s risk of common heart condition

New AI-powered algorithm could better assess people s risk of common heart condition
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Matteo gadaletaScripps researchScripps research translational instituteTranslational instituteDigital medicineGiorgio querRhythm technologies

New AI-powered algorithm could better assess

<p><em>Early detection of atrial fibrillation can reduce the risk of stroke and heart failure, but screening people for the condition has been historically challenging. </em></p>

Matteo gadaletaPatrick harringtonStevenr steinhublMintu turakhiaEvangelos hytopoulosEric barnhillTranslational instituteNational centerNational institute on agingScripps researchScripps research translational instituteTranslational sciencesSkaggs graduate schoolDigital medicineon decemberGiorgio querRhythm technologies