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Presentation TCT 2025

12-Lead AI ECG Algorithm to Predict Coronary Flow Reserve and Capacity as Verified by PET-CT (Heartio)

Presenter: Michael Leasure

October 26, 2025

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 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 THT 2024

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

Presenter: Christopher Haggerty

March 05, 2024

Presentation TCT 2022

AI-Based Algorithm for Determination of Clinically Significant Coronary Disease Using a 12-Lead ECG (Heartio)

Presenter: Michael Leasure

September 17, 2022

Presentation

Effects of Prehospital 12-Lead ECG on Processesof Care and Mortality in ACS

Presenter: Tom Quinn

April 18, 2014

Presentation TCT 2012

Impact of the Novel Mobile Telemedicine System in Real- time Transmission of Prehospital 12-lead ECG for ST-segment Elevation Acute myocardial infarction.

Presenter: Nobuhtio Yagi, Takafumi Yamane, Taichi Adachi, Toshikazu Jinnai, Eiji Tada, Yoichiro Kasahara, Junichi Kotani, Hiroki Sakamoto, Hiroyuki Yokoyama, Hiroshi Nonogi

January 03, 2012

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12-Lead AI ECG Algorithm to Predict Coronary Flow Reserve and Capacity as Verified by PET-CT (Heartio)

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

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

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

AI-Based Algorithm for Determination of Clinically Significant Coronary Disease Using a 12-Lead ECG (Heartio)

Effects of Prehospital 12-Lead ECG on Processesof Care and Mortality in ACS

Impact of the Novel Mobile Telemedicine System in Real- time Transmission of Prehospital 12-lead ECG for ST-segment Elevation Acute myocardial infarction.

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