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Echo IQ trial shows EchoSolv screening platform improves diagnosis of severe aortic stenosis

A flagship clinical trial of Echo IQ’s (ASX: EIQ) EchoSolv artifical intelligence (AI) medical software technology has identified 72% more patients with severe aortic stenosis than human diagnosis alone. ....

United States , New South Wales , Edwards Lifesciences , David Playford , Michael Feneley , National Echo Database Of Australia , National Echo Database , Harvard Medical School , Beth Israel Deaconess Medical Center , Professor Michael Feneley , Professor David Playford ,

Severe aortic stenosis can be readily detected by AI algorithm-assisted reading of echocardiograms

Australia: An artificial intelligence (AI) algorithm employed in the reading of routine echocardiograms can detect patients with aortic stenosis (AS) of sufficient severity that indicates a high risk. ....

New South Wales , National Echo Database , University Of Sydney , Aortic Stenosis , Artificial Intelligence , Decision Support Algorithm , Geoffrey Strange , Clinical Decision Making ,

AI Identifies Aortic Stenosis Patients at High Risk of Mortality

Routine echocardiograms are used by a cutting-edge artificial intelligence (AI) algorithm to pinpoint aortic stenosis patients who are at high risk of passing away and could benefit from treatment. ....

United States , Megan Craig , University Of Notre Dame , National Echo Database Of Australia , Hot Line , Aortic Stenosis Patients , High Risk , North America , National Echo Database , Decision Support Algorithm , Principal Investigator ,

AI-Assisted Echo Readily Detects Severe Aortic Stenosis

The artificial intelligence decision support algorithm identified patients with moderate to severe forms of aortic disease associated with poor survival if left untreated. ....

New South Wales , Catherine Otto , University Of Washington Medical Center , National Echo Database , University Of Sydney , Based On More Than , Washington Medical Center , Cardiovascular Imaging , Ardiac Imaging , V Imaging , Aortic Stenosis , Valvar Aortic Stenosis , Congenital Heart Disease , Ventricular Septal Defect , Artificial Intelligence , A I , Healthcare And Medical Technology , Ealth And Medical Tech , Ealth And Med Tech , Ealth And Medical Technology , Clinical Guidelines , Inancial Hardship , Social D ,

Artificial intelligence identifies severe aortic stenosis from routine echocardiograms

Artificial intelligence identifies severe aortic stenosis from routine echocardiograms
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United States , National Echo Database Of Australia , Hot Line , Decision Support Algorithm , National Echo Database , Professor Geoffrey Strange , Notre Dame ,