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ML Model Outperforms Standard Methods for Detecting Heart Attacks

ML Model Outperforms Standard Methods for Detecting Heart Attacks
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United statesSalah al zaitiChristian martin gillShania kennedyPitt school of nursingSchool of medicineUniversity of pittsburgh medical centerJohns hopkins universityOutperforms standard methodsDetecting heartGetty imagesPittsburgh medical centerPitt schoolNature medicinePittsburgh bureauEmergency medical services

Can AI predict a heart attack? Here s what one study says

By using AI they can take precautions sooner to prevent a life-ending event from happening.

Reddit askdocsFahmi farahUniversity of california san diegoJohn hopkins universityBentley heart medical centerHopkins universitySurvival studyCardiac arrhythmia riskCalifornia san diego

AI predicts if and when you might have a fatal heart attack

An algorithm that assesses scar patterns in heart tissue can predict potentially life-threatening arrhythmias more accurately than doctors can.

United statesDan popescuNatalia trayanovaJohns hopkinsJohns hopkins universityNature cardiovascular researchAlliance for cardiovascularSurvival studyCardiac arrhythmia riskJohns hopkins hospitalCardiovascular diagnostic

New AI Technology Detects Invisible Patterns of MRI to Accurately Predict If and When a Person Dies From Cardiac Arrest, Study Claims

Scientists at Johns Hopkins University developed a new AI technology to address cardiac arrest. Read more to know how this revolutionary technology works.

United statesDan popescuJohns hopkinsNatalia trayanovaUnsplash jair lazaroJohns hopkins universityAmerican heart associationNew formInvisible patternsPerson dies from cardiac arrestJair lazaroPerson dies from cardiacScitech dailySurvival studyCardiac arrhythmia riskBlood vessels

Researchers say AI-based approach can predict when someone will have cardiac arrest

A new artificial-intelligence-based approach can predict if and when a patient could die of cardiac arrest, a recent study led by researchers at John Hopkins University has found.

United statesMurrayb sachsDan popescuNatalia trayanovaJohns hopkinsNature cardiovascular researchAlliance for cardiovascularJohn hopkins universityNature cardiovascularBiomedical engineeringSurvival studyCardiac arrhythmia riskJohns hopkins hospitalCardiovascular diagnosticAi basedEws india

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