Scientific Sessions 2025  /  Trials and Deployments of Artificial Intelligence in Cardiology  /  Discussant: DETECT-HF
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American Heart Association

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Final ID:

Discussant: DETECT-HF

  • Sandhu, Alexander  ( Stanford University , Millbrae , California , United States )
    • Author Disclosures:
    Alexander Sandhu: DO have relevant financial relationships ; Consultant:Reprieve Cardiovascular:Active (exists now) ; Consultant:Clearly:Active (exists now) ; Research Funding (PI or named investigator):NOVO NORDISK:Active (exists now) ; Research Funding (PI or named investigator):Novartis:Active (exists now) ; Research Funding (PI or named investigator):Bayer:Active (exists now) ; Research Funding (PI or named investigator):Astra Zeneca:Active (exists now)
Meeting Info:

Scientific Sessions 2025

2025

New Orleans, Louisiana

Session Info:

Trials and Deployments of Artificial Intelligence in Cardiology

Saturday, 11/08/2025 , 03:15PM - 04:30PM

Featured Science

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ECG deep learning model accurately predicts ischemic stroke risk

Mahajan Rahul, Pace Danielle, Friedman Sam, Dsouza Valentina, Anderson Christopher, Ho Jennifer, Ellinor Patrick, Maddah Mahnaz, Khurshid Shaan

Accuracy of cardiologist reporting of severe aortic stenosis and its impact on clinical management: Insights from decision-support artificial intelligence applied to 28,491 men and women undergoing echocardiography.

Bhat Vikas, Strange Geoff, Butcher Steele, Deans Renae, Mahoney Thomas, Barnes Cara, Playford David

More abstracts from these authors:
Evaluating Clinical Decision Support Tool Effectiveness

Sandhu Alexander, Allen Larry

Incidental Coronary Artery Calcium: Opportunistic Screening of Prior Non-gated Chest CTs to Improve Statin Rates (NOTIFY-1 Project)

Sandhu Alexander

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