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Presentation TCT 2024

Screening for Undiagnosed Aortic Stenosis in Health System EHRs Using ECG-based AI Detection Model (AccurKardia)

Presenter: Moin Hussaini

October 30, 2024

Presentation TCT 2024

Investigating Artificial Intelligence as Applied to a Digital 12 Lead ECG to Determine Coronary Artery Stenosis Severity: The ECGio ROPES Study

Presenter: Michael Leasure

October 30, 2024

Presentation TCT 2024

TCT 594: AI-powered STEMI Network: First Prospective Implementation of Smartphone-based ECG Interpretation System Assisting Emergent Cathlab Activation

Presenter: Robert Herman

October 28, 2024

Presentation TCT 2024

TCT 194: Evaluating Artificial Intelligence Prediction of Occlusive Myocardial Infarction From 12 Lead ECGs After Resuscitated out of Hospital Cardiac Arrest

Presenter: Uzma Sajjad

October 27, 2024

Presentation TCT 2024

TCT 197: Artificial Intelligence Assessment of a Digital 12 Lead ECG Predicts Clinically Significant CAD With a Diagnostic Accuracy Approaching 90%: The ROPES Study

Presenter: Michael Leasure

October 27, 2024

Presentation ESC 2024

Randomized invitation to systematic NT-proBNP and ECG screening in 75- year olds to detect atrial fibrillation – STROKESTOP II

Presenter: Katrin Kemp Gudmundsdottir

September 01, 2024

Presentation NY Valves 2024

Tracking Real-Time ECG Changes During TAVR

Presenter: Attilio Galhardo

June 06, 2024

Presentation THT 2024

Utilization of 12-Lead ECG in Diagnostics and Management of Cardiomyopathy

Presenter: Christopher Haggerty

March 05, 2024

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Screening for Undiagnosed Aortic Stenosis in Health System EHRs Using ECG-based AI Detection Model (AccurKardia)

Investigating Artificial Intelligence as Applied to a Digital 12 Lead ECG to Determine Coronary Artery Stenosis Severity: The ECGio ROPES Study

TCT 594: AI-powered STEMI Network: First Prospective Implementation of Smartphone-based ECG Interpretation System Assisting Emergent Cathlab Activation

TCT 194: Evaluating Artificial Intelligence Prediction of Occlusive Myocardial Infarction From 12 Lead ECGs After Resuscitated out of Hospital Cardiac Arrest

TCT 197: Artificial Intelligence Assessment of a Digital 12 Lead ECG Predicts Clinically Significant CAD With a Diagnostic Accuracy Approaching 90%: The ROPES Study

Randomized invitation to systematic NT-proBNP and ECG screening in 75- year olds to detect atrial fibrillation – STROKESTOP II

Tracking Real-Time ECG Changes During TAVR

Utilization of 12-Lead ECG in Diagnostics and Management of Cardiomyopathy

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