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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:

Artificial Intelligence in Cardiovascular Imaging
Damini Dey, Piotr J. Slomka, Paul Leeson, et al.
Journal of the American College of Cardiology (2019) Vol. 73, Iss. 11, pp. 1317-1335
Open Access | Times Cited: 486

Showing 1-25 of 486 citing articles:

The ‘Digital Twin’ to enable the vision of precision cardiology
Jorge Corral Acero, Francesca Margara, M Marciniak, et al.
European Heart Journal (2020) Vol. 41, Iss. 48, pp. 4556-4564
Open Access | Times Cited: 515
Machine Learning and the Future of Cardiovascular Care
Giorgio Quer, Ramy Arnaout, Michael Henne, et al.
Journal of the American College of Cardiology (2021) Vol. 77, Iss. 3, pp. 300-313
Open Access | Times Cited: 261
Systems biology in cardiovascular disease: a multiomics approach
Abhishek Joshi, Marieke Rienks, Konstantinos Theofilatos, et al.
Nature Reviews Cardiology (2020) Vol. 18, Iss. 5, pp. 313-330
Closed Access | Times Cited: 198
Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study
Andrew Lin, Nipun Manral, Priscilla McElhinney, et al.
The Lancet Digital Health (2022) Vol. 4, Iss. 4, pp. e256-e265
Open Access | Times Cited: 179
Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist
Partho P. Sengupta, Sirish Shrestha, B. Berthon, et al.
JACC. Cardiovascular imaging (2020) Vol. 13, Iss. 9, pp. 2017-2035
Open Access | Times Cited: 170
Artificial intelligence for anterior segment diseases: Emerging applications in ophthalmology
Darren Shu Jeng Ting, Valencia HX Foo, Lily Wei Yun Yang, et al.
British Journal of Ophthalmology (2020) Vol. 105, Iss. 2, pp. 158-168
Closed Access | Times Cited: 164
Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology
Albert Feeny, Mina K. Chung, Anant Madabhushi, et al.
Circulation Arrhythmia and Electrophysiology (2020) Vol. 13, Iss. 8
Open Access | Times Cited: 154
Artificial intelligence in abdominal aortic aneurysm
Juliette Raffort, Cédric Adam, Marion Carrier, et al.
Journal of Vascular Surgery (2020) Vol. 72, Iss. 1, pp. 321-333.e1
Open Access | Times Cited: 145
CT ​Evaluation ​by ​Artificial ​Intelligence ​for ​Atherosclerosis, Stenosis and Vascular ​Morphology ​(CLARIFY): ​A ​Multi-center, international study
Andrew D. Choi, Hugo Marques, Vishak Kumar, et al.
Journal of cardiovascular computed tomography (2021) Vol. 15, Iss. 6, pp. 470-476
Open Access | Times Cited: 134
Applications of artificial intelligence in cardiovascular imaging
Maxime Sermesant, Hervé Delingette, Hubert Cochet, et al.
Nature Reviews Cardiology (2021) Vol. 18, Iss. 8, pp. 600-609
Closed Access | Times Cited: 120
The Integration of Artificial Intelligence into Clinical Practice
Vangelis Karalis
Applied Biosciences (2024) Vol. 3, Iss. 1, pp. 14-44
Open Access | Times Cited: 81
RNA Targeting and Gene Editing Strategies for Transthyretin Amyloidosis
Adam Ioannou, Marianna Fontana, Julian D. Gillmore
BioDrugs (2023) Vol. 37, Iss. 2, pp. 127-142
Open Access | Times Cited: 49
Severe aortic stenosis detection by deep learning applied to echocardiography
Gregory Holste, Evangelos K. Oikonomou, Bobak J. Mortazavi, et al.
European Heart Journal (2023) Vol. 44, Iss. 43, pp. 4592-4604
Open Access | Times Cited: 49
The Role of Artificial Intelligence in Improving Patient Outcomes and Future of Healthcare Delivery in Cardiology: A Narrative Review of the Literature
Dhir Gala, Haditya Behl, Mili Shah, et al.
Healthcare (2024) Vol. 12, Iss. 4, pp. 481-481
Open Access | Times Cited: 44
Noncontact Sensing Techniques for AI-Aided Structural Health Monitoring: A Systematic Review
Alessandro Sabato, Shweta Dabetwar, Nitin Nagesh Kulkarni, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 5, pp. 4672-4684
Closed Access | Times Cited: 42
Artificial Intelligence for Cardiovascular Care—Part 1: Advances
Pierre Elias, Sneha S. Jain, Timothy J. Poterucha, et al.
Journal of the American College of Cardiology (2024) Vol. 83, Iss. 24, pp. 2472-2486
Closed Access | Times Cited: 19
Value Creation Through Artificial Intelligence and Cardiovascular Imaging: A Scientific Statement From the American Heart Association
Kate Hanneman, David Playford, Damini Dey, et al.
Circulation (2024) Vol. 149, Iss. 6
Open Access | Times Cited: 17
Artificial intelligence in gastrointestinal endoscopy: a comprehensive review
Hassam Ali
Annals of Gastroenterology (2024)
Open Access | Times Cited: 16
Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study
Frédéric Commandeur, Piotr J. Slomka, Markus Goeller, et al.
Cardiovascular Research (2019) Vol. 116, Iss. 14, pp. 2216-2225
Open Access | Times Cited: 118
Deep Learning–Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects
Evann Eisenberg, Priscilla McElhinney, Frédéric Commandeur, et al.
Circulation Cardiovascular Imaging (2020) Vol. 13, Iss. 2
Open Access | Times Cited: 116
Artificial intelligence in echocardiography: detection, functional evaluation, and disease diagnosis
Jia Zhou, Meng Du, Shuai Chang, et al.
Cardiovascular Ultrasound (2021) Vol. 19, Iss. 1
Open Access | Times Cited: 100
Clinical Deployment of Explainable Artificial Intelligence of SPECT for Diagnosis of Coronary Artery Disease
Yuka Otaki, Ananya Singh, Paul Kavanagh, et al.
JACC. Cardiovascular imaging (2021) Vol. 15, Iss. 6, pp. 1091-1102
Open Access | Times Cited: 87
Current applications of big data and machine learning in cardiology.
Renato Cuocolo, Teresa Perillo, Eliana De Rosa, et al.
PubMed (2019) Vol. 16, Iss. 8, pp. 601-607
Closed Access | Times Cited: 84
Artificial Intelligence in the Management of Intracranial Aneurysms: Current Status and Future Perspectives
Zhao Shi, Bin Hu, U. Joseph Schoepf, et al.
American Journal of Neuroradiology (2020) Vol. 41, Iss. 3, pp. 373-379
Open Access | Times Cited: 84
Epicardial fat and coronary artery disease: Role of cardiac imaging
Marco Guglielmo, Andrew Lin, Damini Dey, et al.
Atherosclerosis (2021) Vol. 321, pp. 30-38
Open Access | Times Cited: 83
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