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Displaying 1 - 15 of 15

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Presentation THT 2025

Prospective Validation of Machine Learning in Risk Stratification of Patients Treated for Cardiogenic Shock

Presenter: Shuojohn Li

February 11, 2025

News Conference News AHA 2024

Novel AI-Based, Noninvasive Sensor Can Accurately Measure PCWP in HFrEF

Yael L. Maxwell

November 25, 2024

Presentation THT 2024

Multicenter Development and Validation of a Supervised Machine Learning Risk Model to Predict Right Ventricular Failure Following Mechanical Circulatory Support: The STOP-RVF Score

Presenter: Stavros G. Drakos

March 06, 2024

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 Conference News PCR London Valves 2023

EuroSMR Score Outperforms Other Tools for M-TEER Risk Profiling

Shelley Wood

November 28, 2023

News Opinion CV Team Dispatch

September 2023 News Roundup

L.A. McKeown

September 01, 2023

News Features THT 2023

The Promise of AI for Improving Health Equity in Heart Failure

Todd Neale

April 04, 2023

Presentation TCT 2022

Use of Artificial Intelligence and Machine Learning to Improve Outcomes of Patients With HF

Presenter: Gabriel Sayer

September 17, 2022

News Daily News

AI-Based Tool IDs Hypertrophic Cardiomyopathy and Cardiac Amyloidosis

Yael L. Maxwell

February 24, 2022

Presentation THT 2022

Phenotyping Cardiogenic Shock: Insights From Machine Learning Applied to a Large Real-World Registry

Presenter: Navin Kapur

February 02, 2022

News Conference News ESC 2021

In HFrEF, AI Shows Promise For Predicting Beta Blocker Response

Yael L. Maxwell

September 03, 2021

News Industry News

Medtronic Launches App-Based Study to Better Understand Relationship Between Atrial Fibrillation Disease Burden and Impact on Patient Outcomes

June 29, 2021

News Features

COVID-19’s Enduring Impact on the Heart? Some Clues and Predictions

Shelley Wood

July 20, 2020

News Daily News

Stick-on Sensor Predicts Heart-Failure Hospitalizations: Pilot Study

Shelley Wood

February 26, 2020

News Industry News

Nanowear Announces Clinical Launch of NanoSENSE, a Heart Failure Management and Alert Diagnostic Validation Study

July 22, 2019

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Prospective Validation of Machine Learning in Risk Stratification of Patients Treated for Cardiogenic Shock

Novel AI-Based, Noninvasive Sensor Can Accurately Measure PCWP in HFrEF

Multicenter Development and Validation of a Supervised Machine Learning Risk Model to Predict Right Ventricular Failure Following Mechanical Circulatory Support: The STOP-RVF Score

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

EuroSMR Score Outperforms Other Tools for M-TEER Risk Profiling

September 2023 News Roundup

The Promise of AI for Improving Health Equity in Heart Failure

Use of Artificial Intelligence and Machine Learning to Improve Outcomes of Patients With HF

AI-Based Tool IDs Hypertrophic Cardiomyopathy and Cardiac Amyloidosis

Phenotyping Cardiogenic Shock: Insights From Machine Learning Applied to a Large Real-World Registry

In HFrEF, AI Shows Promise For Predicting Beta Blocker Response

Medtronic Launches App-Based Study to Better Understand Relationship Between Atrial Fibrillation Disease Burden and Impact on Patient Outcomes

COVID-19’s Enduring Impact on the Heart? Some Clues and Predictions

Stick-on Sensor Predicts Heart-Failure Hospitalizations: Pilot Study

Nanowear Announces Clinical Launch of NanoSENSE, a Heart Failure Management and Alert Diagnostic Validation Study

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