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News Features

FDA Clears AI-ECG Screening Tools for CV Care: What’s Next Is Up for Grabs

Yael L. Maxwell

December 14, 2023

News Daily News

Rethink Race in Pooled Cohort Equations for ASCVD, REGARDS Data Suggest

L.A. McKeown

December 11, 2023

EuroSMR Score Outperforms Other Tools for M-TEER Risk Profiling

Shelley Wood

November 28, 2023

News Conference News AHA 2023

‘Proof-of-Concept’ AI-ECG May Improve STEMI Care: ARISE

Yael L. Maxwell

November 17, 2023

News Daily News

Guiding DAPT Based on Genes or Platelet Tests Still ‘Tempting’

Yael L. Maxwell

November 08, 2023

Presentation TCT 2023

TCT 775: A Machine Learning Based Model Predicts Death in Patients with Severe Asymptomatic Aortic Stenosis

Presenter: APURVA BHARUCHA

October 26, 2023

Presentation TCT 2023

TCT 753: Development of a Machine Learning Based Futility Risk Model to Predict One Year Mortality in Transcatheter Aortic Valve Replacement

Presenter: APURVA BHARUCHA

October 26, 2023

Presentation TCT 2023

TCT 197: Machine Learning Model for Predicting Mortality in Acute Myocardial Infarction Patients managed with or without Beta-Blocker

Presenter: Seung-Woon Rha

October 26, 2023

Presentation TCT 2023

TCT 607: Machine Learning for Predicting Major Adverse Cardiac Events in Percutaneous Coronary Intervention of Coronary Artery Chronic Total Occlusion

Presenter: Judit Karacsonyi

October 25, 2023

Presentation TCT 2023

TCT 284: Do the Novel Pulmonary Risk Factors Identified by the Machine Learning Have an Impact on Outcomes of Revascularisation in Complex Coronary Artery Disease?

Presenter: SHIGETAKA KAGEYAMA

October 25, 2023

Presentation TCT 2023

TCT 715: Laminar Flow Predicted Correctly No Progression in Severity of Moderate Stenotic Lesion: a Dynamic Angiographic and Machine Learning Analysis

Presenter: Duc Nguyen

October 24, 2023

Presentation TCT 2023

Predicting Ischemic and Bleeding Risk in Patients after PCI on DAPT: An Individualized Patient Centered Machine Learning Model

Presenter: Roxana Mehran

October 24, 2023

Presentation TCT 2023

Counterpoint: AI and Machine Learning Have Significant Limitations – A Word of Caution

Presenter: Mamas Mamas

October 23, 2023

News Daily News

Ultrasound Cuts Vascular Complications, Bleeds in Transfemoral Access

Yael L. Maxwell

October 05, 2023

News Opinion CV Team Dispatch

September 2023 News Roundup

L.A. McKeown

September 01, 2023

News Conference News SCCT 2023

AI Predicted to Play Major Role in Cardiac CT and CV Care in the Coming Decade

Todd Neale

August 03, 2023

News CV Team Pro

Viet Le

L.A. McKeown

July 07, 2023

News Daily News

Grocery Carts a Tool for AF Screening? An Early Look

Caitlin E. Cox

June 27, 2023

News Opinion Off Script

As We Flock to AI, Let’s Not Forget the EQ

Nicole Bart, MD, PhD

May 04, 2023

News Features THT 2023

The Promise of AI for Improving Health Equity in Heart Failure

Todd Neale

April 04, 2023

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FDA Clears AI-ECG Screening Tools for CV Care: What’s Next Is Up for Grabs

Rethink Race in Pooled Cohort Equations for ASCVD, REGARDS Data Suggest

EuroSMR Score Outperforms Other Tools for M-TEER Risk Profiling

‘Proof-of-Concept’ AI-ECG May Improve STEMI Care: ARISE

Guiding DAPT Based on Genes or Platelet Tests Still ‘Tempting’

TCT 775: A Machine Learning Based Model Predicts Death in Patients with Severe Asymptomatic Aortic Stenosis

TCT 753: Development of a Machine Learning Based Futility Risk Model to Predict One Year Mortality in Transcatheter Aortic Valve Replacement

TCT 197: Machine Learning Model for Predicting Mortality in Acute Myocardial Infarction Patients managed with or without Beta-Blocker

TCT 607: Machine Learning for Predicting Major Adverse Cardiac Events in Percutaneous Coronary Intervention of Coronary Artery Chronic Total Occlusion

TCT 284: Do the Novel Pulmonary Risk Factors Identified by the Machine Learning Have an Impact on Outcomes of Revascularisation in Complex Coronary Artery Disease?

TCT 715: Laminar Flow Predicted Correctly No Progression in Severity of Moderate Stenotic Lesion: a Dynamic Angiographic and Machine Learning Analysis

Predicting Ischemic and Bleeding Risk in Patients after PCI on DAPT: An Individualized Patient Centered Machine Learning Model

Counterpoint: AI and Machine Learning Have Significant Limitations – A Word of Caution

Ultrasound Cuts Vascular Complications, Bleeds in Transfemoral Access

September 2023 News Roundup

AI Predicted to Play Major Role in Cardiac CT and CV Care in the Coming Decade

Viet Le

Grocery Carts a Tool for AF Screening? An Early Look

As We Flock to AI, Let’s Not Forget the EQ

The Promise of AI for Improving Health Equity in Heart Failure

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