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Presentation THT 2026

Cutaneous device and machine learning could estimate pulmonary capillary wedge pressure in patients with heart failure

Presenter: Remi Sabatier

March 04, 2026

Presentation THT 2026

UltraSight PVAD IQ Machine Learning Algorithm Accurately Identifies Impella Micro-axial Flow Pump Depth Across the Aortic Valve on Ultrasound Imaging: An Early Clinical Feasibility Study

Presenter: Luca Baldetti

March 03, 2026

Presentation THT 2026

Beyond Clinical Calculations — Machine Learning of Hemodynamic Waveforms

Presenter: Steven Hsu

March 03, 2026

News Conference News EAPCI 2026

AI in Cardiovascular Imaging and Interventions: Boon or Bane?

Caitlin E. Cox

February 20, 2026

News Daily News

Q&A: Lior Jankelson on AI Tools for Suspected ACS and More

Todd Neale

February 10, 2026

Presentation TCT 2025

TCT 965: Can Machine Learning Aid the Evaluation of the Risks of Bleeding vs Thrombotic Events in Patients at High Bleeding Risk After PCI?

Presenter: Hao-Yu Wang

October 28, 2025

Presentation TCT 2025

TCT 1015: External Validation of the xDAPT Machine Learning Model for Ischemic and Bleeding Risk After Percutaneous Coronary Intervention

Presenter: Davide Cao

October 28, 2025

Presentation TCT 2025

TCT 916: Machine Learning to Predict Neurological Outcome after Out-of-hospital Cardiac Arrest

Presenter: Johannes Michael Altstidl

October 27, 2025

Presentation TCT 2025

TCT 476: Synergistic Impact of Insulin Resistance and Hepatic Fibrosis on Cardiovascular Events in Patients with Coronary Artery Disease: A Machine Learning Subtyping and Interaction Analysis

Presenter: Zhihao Zheng

October 27, 2025

Presentation TCT 2025

TCT 433: Can Major Cardiovascular Adverse Events (MACE) be Predicted? A Systematic Review and Meta-Analysis Exploring the Use of Machine Learning (ML) with Coronary Computed Tomography Angiography (CCTA)

Presenter: Saif Syed

October 27, 2025

Presentation TCT 2025

Featured Innovation: Automated Diagnosis and Classification of Aortic Stenosis from A Single Echocardiographic View: A Novel Machine Learning Approach

Presenter: Mayooran Namasivayam

October 26, 2025

Presentation TCT 2025

TCT 149: Prediction of Percutaneous Coronary Intervention Success in Moderate-to-severe Coronary Artery Calcification Patients Using Machine Learning Based on Coronary Angiography

Presenter: Zixiang Ye

October 26, 2025

Presentation TCT 2025

TCT 1059: Prediction of Patient Radiation Dose During Chronic Total Occlusion Percutaneous Coronary Intervention: A Machine Learning Augmented Analysis

Presenter: Pedro Carvalho

October 26, 2025

News Daily News

Two New Scores Help Hone 10-Year CV Death Risk in ASCVD Patients

Caitlin E. Cox

October 16, 2025

News Daily News

Pregnancy-Related CV Complications on the Rise

Todd Neale

October 09, 2025

News Daily News

AI Model Saves Time, Increases Accuracy of Echo Measurements

Yael L. Maxwell

September 22, 2025

News Daily News

AI Tool Supports Mammograms as Method to Screen Women for CV Risk

Caitlin E. Cox

September 18, 2025

News Daily News

AI-Supported Coaching Shows Promise for Improving Glycemic Control

L.A. McKeown

August 25, 2025

News Daily News

Body Fat Distribution Influences Cardiovascular Age

Todd Neale

August 22, 2025

News Daily News

Novel Calcium Score Accounting for Density and Location Ups MACE Prediction

Yael L. Maxwell

July 11, 2025

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Cutaneous device and machine learning could estimate pulmonary capillary wedge pressure in patients with heart failure

UltraSight PVAD IQ Machine Learning Algorithm Accurately Identifies Impella Micro-axial Flow Pump Depth Across the Aortic Valve on Ultrasound Imaging: An Early Clinical Feasibility Study

Beyond Clinical Calculations — Machine Learning of Hemodynamic Waveforms

AI in Cardiovascular Imaging and Interventions: Boon or Bane?

Q&A: Lior Jankelson on AI Tools for Suspected ACS and More

TCT 965: Can Machine Learning Aid the Evaluation of the Risks of Bleeding vs Thrombotic Events in Patients at High Bleeding Risk After PCI?

TCT 1015: External Validation of the xDAPT Machine Learning Model for Ischemic and Bleeding Risk After Percutaneous Coronary Intervention

TCT 916: Machine Learning to Predict Neurological Outcome after Out-of-hospital Cardiac Arrest

TCT 476: Synergistic Impact of Insulin Resistance and Hepatic Fibrosis on Cardiovascular Events in Patients with Coronary Artery Disease: A Machine Learning Subtyping and Interaction Analysis

TCT 433: Can Major Cardiovascular Adverse Events (MACE) be Predicted? A Systematic Review and Meta-Analysis Exploring the Use of Machine Learning (ML) with Coronary Computed Tomography Angiography (CCTA)

Featured Innovation: Automated Diagnosis and Classification of Aortic Stenosis from A Single Echocardiographic View: A Novel Machine Learning Approach

TCT 149: Prediction of Percutaneous Coronary Intervention Success in Moderate-to-severe Coronary Artery Calcification Patients Using Machine Learning Based on Coronary Angiography

TCT 1059: Prediction of Patient Radiation Dose During Chronic Total Occlusion Percutaneous Coronary Intervention: A Machine Learning Augmented Analysis

Two New Scores Help Hone 10-Year CV Death Risk in ASCVD Patients

Pregnancy-Related CV Complications on the Rise

AI Model Saves Time, Increases Accuracy of Echo Measurements

AI Tool Supports Mammograms as Method to Screen Women for CV Risk

AI-Supported Coaching Shows Promise for Improving Glycemic Control

Body Fat Distribution Influences Cardiovascular Age

Novel Calcium Score Accounting for Density and Location Ups MACE Prediction

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