The Role of Artificial Intelligence Technologies in Revolutionizing and Aiding Cardiovascular Medicine

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ORIGINAL RESEARCH

Published on 22 Oct 2024

Prediction of in-hospital mortality risk for patients with acute ST-elevation myocardial infarction after primary PCI based on predictors selected by GRACE score and two feature selection methods

Nan Tang
Shuang Liu
Kangming Li
Qiang Zhou
Yanan Dai
Huamei Sun
Qingdui Zhang
Ji Hao
Chunmei Qi

doi 10.3389/fcvm.2024.1419551

362 views

SYSTEMATIC REVIEW

Published on 23 Sep 2024

Mobile health apps for cardiovascular risk assessment: a systematic review

Fabian A. Chavez-Ecos
Rodrigo Chavez-Ecos
Carlos Vergara Sanchez
Miguel A. Chavez-Gutarra
Anandita Agarwala
Kiara Camacho-Caballero

doi 10.3389/fcvm.2024.1420274

828 views

ORIGINAL RESEARCH

Published on 05 Sep 2024

Machine learning models for predicting risks of MACEs for myocardial infarction patients with different VEGFR2 genotypes

Alexander Kirdeev
Konstantin Burkin
Anton Vorobev
Elena Zbirovskaya
Galina Lifshits
Konstantin Nikolaev
Elena Zelenskaya
Maxim Donnikov
Lyudmila Kovalenko
1 more
Maria Poptsova

doi 10.3389/fmed.2024.1452239

1,104 views

SYSTEMATIC REVIEW

Published on 27 Aug 2024

Assessing the precision of machine learning for diagnosing pulmonary arterial hypertension: a systematic review and meta-analysis of diagnostic accuracy studies

Akbar Fadilah
Valerinna Yogibuana Swastika Putri
Imke Maria Del Rosario Puling
Sebastian Emmanuel Willyanto

doi 10.3389/fcvm.2024.1422327

1,062 views

ORIGINAL RESEARCH

Published on 13 Aug 2024

Cardiac ultrasound simulation for autonomous ultrasound navigation

Abdoul Aziz Amadou
Laura Peralta
Paul Dryburgh
Paul Klein
Kaloian Petkov
R. James Housden
Vivek Singh
Rui Liao
Young-Ho Kim
4 more
Kawal Rhode

doi 10.3389/fcvm.2024.1384421

1,631 views
1 citation

ORIGINAL RESEARCH

Published on 05 Jul 2024

Performance of federated learning-based models in the Dutch TAVI population was comparable to central strategies and outperformed local strategies

Tsvetan R. Yordanov
Anita C. J. Ravelli
Saba Amiri
Marije Vis
Saskia Houterman
Sebastian R. Van der Voort
Ameen Abu-Hanna

doi 10.3389/fcvm.2024.1399138

748 views

ORIGINAL RESEARCH

Published on 03 Jan 2024

Navigating the AI frontiers in cardiovascular research: a bibliometric exploration and topic modeling

Kirubel Biruk Shiferaw
Payam Wali
Dagmar Waltemath
Atinkut Alamirrew Zeleke

doi 10.3389/fcvm.2023.1308668

2,135 views
2 citations

STUDY PROTOCOL

Published on 11 Oct 2023

Artificial intelligence-enhanced 12-lead electrocardiography for identifying atrial fibrillation during sinus rhythm (AIAFib) trial: protocol for a multicenter retrospective study

Yong-Soo Baek
Soonil Kwon
Seng Chan You
Kwang-No Lee
Hee Tae Yu
So-Ryung Lee
Seung-Young Roh
Dong-Hyeok Kim
Seung Yong Shin
8 more
Dae-Hyeok Kim

doi 10.3389/fcvm.2023.1258167

2,113 views
2 citations

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Frontiers in Cardiovascular Medicine

General Cardiovascular Medicine

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Articles

Prediction of in-hospital mortality risk for patients with acute ST-elevation myocardial infarction after primary PCI based on predictors selected by GRACE score and two feature selection methods

Mobile health apps for cardiovascular risk assessment: a systematic review

Machine learning models for predicting risks of MACEs for myocardial infarction patients with different VEGFR2 genotypes

Assessing the precision of machine learning for diagnosing pulmonary arterial hypertension: a systematic review and meta-analysis of diagnostic accuracy studies

Cardiac ultrasound simulation for autonomous ultrasound navigation

Performance of federated learning-based models in the Dutch TAVI population was comparable to central strategies and outperformed local strategies

Navigating the AI frontiers in cardiovascular research: a bibliometric exploration and topic modeling

Artificial intelligence-enhanced 12-lead electrocardiography for identifying atrial fibrillation during sinus rhythm (AIAFib) trial: protocol for a multicenter retrospective study

Frontiers in Cardiovascular Medicine

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