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AI Predicts Survival of Bypass Patients in Critical Condition

AI Predicts Survival of Bypass Patients in Critical Condition
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New yorkUnited statesSouth australiaAndrew stephensEngineering and technologyDiabetes instituteMonash universityUniversity of michigan medical centerSociety of australiaColumbia university irving medical centreCare research centre at monashAlfred healthCardiac societyNew zealandRalph reader prizeMonash cardio respiratory engineering and

Neural network predicts survival of critically ill patients on heart–lung bypass

Neural network predicts survival of critically ill patients on heart–lung bypass
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United statesSouth australiaAndrewf stephensAndrew stephensSociety of australiaMonash universityEngineering and technologyCardiac societyNew zealandRalph reader prizeMonash cardio respiratory engineering andNorth americaLatin americaUsing deep neural networksSurvival predictionVenoarterial extracorporeal membrane oxygenation

HRI members present at CSANZ Annual Scientific Meeting

HRI members present at CSANZ Annual Scientific Meeting
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South australiaMary kavurmaManisha patilAdelaide convention centreVascular complications groupNational heart foundationSociety of australiaHeart research instituteCardiac societyNew zealandAnnual scientificReader prizeRalph reader prizeChief executiveAssoc prof mary kavurmaPhd student

AI Predicts Survival Rates of Critical Heart-Lung Bypass Patients

AI Predicts Survival Rates of Critical Heart-Lung Bypass Patients
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South australiaNew yorkUnited statesAndrew stephensColumbia university irving medical centreAlfred healthCare research centre at monashEngineering and technologyMonash universityDiabetes instituteUniversity of michigan medical centerSociety of australiaCardiac societyNew zealandRalph reader prizeMonash cardio respiratory engineering and