OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Implementing Machine Learning in Interventional Cardiology: The Benefits Are Worth the Trouble
Walid Ben Ali, Ahmad Pesaranghader, Robert Avram, et al.
Frontiers in Cardiovascular Medicine (2021) Vol. 8
Open Access | Times Cited: 25
Walid Ben Ali, Ahmad Pesaranghader, Robert Avram, et al.
Frontiers in Cardiovascular Medicine (2021) Vol. 8
Open Access | Times Cited: 25
Showing 25 citing articles:
Artificial Intelligence Implementation in Healthcare: A Theory-Based Scoping Review of Barriers and Facilitators
Taridzo Chomutare, Miguel Tejedor, Therese Olsen Svenning, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 23, pp. 16359-16359
Open Access | Times Cited: 69
Taridzo Chomutare, Miguel Tejedor, Therese Olsen Svenning, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 23, pp. 16359-16359
Open Access | Times Cited: 69
ECG-based data-driven solutions for diagnosis and prognosis of cardiovascular diseases: A systematic review
Pedro A. Moreno-Sánchez, Guadalupe García Isla, Valentina Corino, et al.
Computers in Biology and Medicine (2024) Vol. 172, pp. 108235-108235
Open Access | Times Cited: 10
Pedro A. Moreno-Sánchez, Guadalupe García Isla, Valentina Corino, et al.
Computers in Biology and Medicine (2024) Vol. 172, pp. 108235-108235
Open Access | Times Cited: 10
Ethical, Legal, and Financial Considerations of Artificial Intelligence in Surgery
Miranda X. Morris, Ethan Y. Song, Aashish Rajesh, et al.
The American Surgeon (2022) Vol. 89, Iss. 1, pp. 55-60
Closed Access | Times Cited: 36
Miranda X. Morris, Ethan Y. Song, Aashish Rajesh, et al.
The American Surgeon (2022) Vol. 89, Iss. 1, pp. 55-60
Closed Access | Times Cited: 36
Role of Artificial Intelligence and Machine Learning in Interventional Cardiology
Shoaib Subhan, Jahanzeb Malik, Abair ul Haq, et al.
Current Problems in Cardiology (2023) Vol. 48, Iss. 7, pp. 101698-101698
Closed Access | Times Cited: 18
Shoaib Subhan, Jahanzeb Malik, Abair ul Haq, et al.
Current Problems in Cardiology (2023) Vol. 48, Iss. 7, pp. 101698-101698
Closed Access | Times Cited: 18
Global trends of delayed graft function in kidney transplantation from 2013 to 2023: a bibliometric analysis
Zhiling Yao, Mingqian Kuang, Zhen Li
Renal Failure (2024) Vol. 46, Iss. 1
Open Access | Times Cited: 7
Zhiling Yao, Mingqian Kuang, Zhen Li
Renal Failure (2024) Vol. 46, Iss. 1
Open Access | Times Cited: 7
Contrastive learning with transformer for adverse endpoint prediction in patients on DAPT post-coronary stent implantation
Fang Li, Zenan Sun, Ahmed Abdelhameed, et al.
Frontiers in Cardiovascular Medicine (2025) Vol. 11
Open Access
Fang Li, Zenan Sun, Ahmed Abdelhameed, et al.
Frontiers in Cardiovascular Medicine (2025) Vol. 11
Open Access
Biomedical sensors in wearable health technologies
Rideb Chakraborty, Naureen Afrose, Pratibha Bhowmick, et al.
Elsevier eBooks (2025), pp. 159-184
Closed Access
Rideb Chakraborty, Naureen Afrose, Pratibha Bhowmick, et al.
Elsevier eBooks (2025), pp. 159-184
Closed Access
Big Data in Cardiology: State-of-Art and Future Prospects
Haijiang Dai, Arwa Younis, Jude Dzevela Kong, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 9
Open Access | Times Cited: 21
Haijiang Dai, Arwa Younis, Jude Dzevela Kong, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 9
Open Access | Times Cited: 21
Advancements in artificial intelligence-driven techniques for interventional cardiology
Zofia Rudnicka, Agnieszka Pręgowska, Kinga Glądys, et al.
Cardiology Journal (2024) Vol. 31, Iss. 2, pp. 321-341
Open Access | Times Cited: 4
Zofia Rudnicka, Agnieszka Pręgowska, Kinga Glądys, et al.
Cardiology Journal (2024) Vol. 31, Iss. 2, pp. 321-341
Open Access | Times Cited: 4
Advancing Fairness in Cardiac Care: Strategies for Mitigating Bias in Artificial Intelligence Models Within Cardiology
Alexis Nolin-Lapalme, Denis Corbin, Olivier Tastet, et al.
Canadian Journal of Cardiology (2024) Vol. 40, Iss. 10, pp. 1907-1921
Closed Access | Times Cited: 4
Alexis Nolin-Lapalme, Denis Corbin, Olivier Tastet, et al.
Canadian Journal of Cardiology (2024) Vol. 40, Iss. 10, pp. 1907-1921
Closed Access | Times Cited: 4
Predicting in-hospital mortality after transcatheter aortic valve replacement using administrative data and machine learning
Theyab Alhwiti, Summer Aldrugh, Fadel M. Megahed
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Theyab Alhwiti, Summer Aldrugh, Fadel M. Megahed
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Synthetic data generation in healthcare: A scoping review of reviews on domains, motivations, and future applications
Miguel Rujas, Rodrigo Martín Gómez del Moral Herranz, Giuseppe Fico, et al.
International Journal of Medical Informatics (2024) Vol. 195, pp. 105763-105763
Open Access | Times Cited: 2
Miguel Rujas, Rodrigo Martín Gómez del Moral Herranz, Giuseppe Fico, et al.
International Journal of Medical Informatics (2024) Vol. 195, pp. 105763-105763
Open Access | Times Cited: 2
Learning dynamic treatment strategies for coronary heart diseases by artificial intelligence: real-world data-driven study
Haihong Guo, Jiao Li, Hongyan Liu, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 12
Haihong Guo, Jiao Li, Hongyan Liu, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 12
Real-World and Regulatory Perspectives of Artificial Intelligence in Cardiovascular Imaging
Ernst Wellnhofer
Frontiers in Cardiovascular Medicine (2022) Vol. 9
Open Access | Times Cited: 12
Ernst Wellnhofer
Frontiers in Cardiovascular Medicine (2022) Vol. 9
Open Access | Times Cited: 12
Artificial Intelligence – Advisory or Adversary?
Johny Nicolas, Nicholas L. Pitaro, Birgit Vogel, et al.
Interventional Cardiology Reviews Research Resources (2023) Vol. 18
Open Access | Times Cited: 3
Johny Nicolas, Nicholas L. Pitaro, Birgit Vogel, et al.
Interventional Cardiology Reviews Research Resources (2023) Vol. 18
Open Access | Times Cited: 3
deepSimDEF: deep neural embeddings of gene products and gene ontology terms for functional analysis of genes
Ahmad Pesaranghader, Stan Matwin, Marina Sokolova, et al.
Bioinformatics (2022) Vol. 38, Iss. 11, pp. 3051-3061
Open Access | Times Cited: 5
Ahmad Pesaranghader, Stan Matwin, Marina Sokolova, et al.
Bioinformatics (2022) Vol. 38, Iss. 11, pp. 3051-3061
Open Access | Times Cited: 5
Identifying Predictors of Psychological Problems Among Adolescents With Congenital Heart Disease for Referral to Psychological Care: A Pilot Study
Jordan Gosnell, Michael T. M. Finn, Darcy N. Marckini, et al.
CJC Pediatric and Congenital Heart Disease (2022) Vol. 2, Iss. 1, pp. 3-11
Open Access | Times Cited: 3
Jordan Gosnell, Michael T. M. Finn, Darcy N. Marckini, et al.
CJC Pediatric and Congenital Heart Disease (2022) Vol. 2, Iss. 1, pp. 3-11
Open Access | Times Cited: 3
Importance of hospital and clinical factors for early mortality in Takotsubo syndrome: Insights from the Swedish Coronary Angiography and Angioplasty Registry
Þorsteinn Guðmundsson, Björn Redfors, Truls Råmunddal, et al.
Research Square (Research Square) (2024)
Open Access
Þorsteinn Guðmundsson, Björn Redfors, Truls Råmunddal, et al.
Research Square (Research Square) (2024)
Open Access
Importance of hospital and clinical factors for early mortality in Takotsubo syndrome: Insights from the Swedish Coronary Angiography and Angioplasty Registry
Þorsteinn Guðmundsson, Björn Redfors, Truls Råmunddal, et al.
BMC Cardiovascular Disorders (2024) Vol. 24, Iss. 1
Open Access
Þorsteinn Guðmundsson, Björn Redfors, Truls Råmunddal, et al.
BMC Cardiovascular Disorders (2024) Vol. 24, Iss. 1
Open Access
Synthetic Data Generation in Healthcare: A Scoping Review of reviews on domains, motivations, and future applications
Miguel Rujas, Rodrigo Martín Gómez del Moral Herranz, Giuseppe Fico, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Miguel Rujas, Rodrigo Martín Gómez del Moral Herranz, Giuseppe Fico, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
The Role of Artificial Intelligence and Machine Learning in Cardiovascular Imaging and Diagnosis: Current Insights and Future Directions
Maria Gabriela Cerdas, Sucharitha Pandeti, Likhitha C Reddy, et al.
Cureus (2024)
Open Access
Maria Gabriela Cerdas, Sucharitha Pandeti, Likhitha C Reddy, et al.
Cureus (2024)
Open Access
Artificial intelligence tools in medicine: navigating the horizon of promise and caution
Francesco A Veneziano, Giuseppe Biondi‐Zoccai
Minerva Cardiology and Angiology (2024) Vol. 73, Iss. 1
Closed Access
Francesco A Veneziano, Giuseppe Biondi‐Zoccai
Minerva Cardiology and Angiology (2024) Vol. 73, Iss. 1
Closed Access
Exploiting Pre-trained Architectures for Dual-Stream Classification of LCA-RCA in a Private AngioData
Hounaïda Moalla, Aiman Ghrab, Bassem Ben Hamed, et al.
2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) (2023), pp. 1-6
Closed Access | Times Cited: 1
Hounaïda Moalla, Aiman Ghrab, Bassem Ben Hamed, et al.
2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) (2023), pp. 1-6
Closed Access | Times Cited: 1
Trustworthy Machine Learning Predictions to Support Clinical Research and Decisions
Andrea Bianchi, Antinisca Di Marco, Francesca Marzi, et al.
(2023), pp. 231-234
Closed Access
Andrea Bianchi, Antinisca Di Marco, Francesca Marzi, et al.
(2023), pp. 231-234
Closed Access
