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OpenAlex Citation Counts

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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:

Clinical validation of an artificial intelligence-assisted algorithm for automated quantification of left ventricular ejection fraction in real time by a novel handheld ultrasound device
Stella‐Lida Papadopoulou, Vasileios Sachpekidis, V Kantartzi, et al.
European Heart Journal - Digital Health (2022) Vol. 3, Iss. 1, pp. 29-37
Open Access | Times Cited: 25

Showing 25 citing articles:

Artificial Intelligence (AI) versus POCUS Expert: A Validation Study of Three Automatic AI-Based, Real-Time, Hemodynamic Echocardiographic Assessment Tools
Eyal Gohar, Amit Herling, Mor Mazuz, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 4, pp. 1352-1352
Open Access | Times Cited: 32
Leveraging Comprehensive Echo Data to Power AI Models for Handheld Cardiac Ultrasound
D. M. Anisuzzaman, Jeffrey G. Malins, John I. Jackson, et al.
Mayo Clinic Proceedings Digital Health (2025), pp. 100194-100194
Closed Access | Times Cited: 1
Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence: clinical validation in real time and large databases
Sindre Hellum Olaisen, Erik Smistad, Torvald Espeland, et al.
European Heart Journal - Cardiovascular Imaging (2023) Vol. 25, Iss. 3, pp. 383-395
Open Access | Times Cited: 17
Artificial intelligence-assisted evaluation of cardiac function by oncology staff in chemotherapy patients
Stella‐Lida Papadopoulou, Dimitrios Dionysopoulos, V. Mentesidou, et al.
European Heart Journal - Digital Health (2024) Vol. 5, Iss. 3, pp. 278-287
Open Access | Times Cited: 7
Reducing echocardiographic examination time through routine use of fully automated software: a comparative study of measurement and report creation time
Yukina Hirata, Yuka Nomura, Yoshihito Saijo, et al.
Journal of Echocardiography (2024) Vol. 22, Iss. 3, pp. 162-170
Open Access | Times Cited: 6
Multicenter validation study for automated left ventricular ejection fraction assessment using a handheld ultrasound with artificial intelligence
Nobuyuki Kagiyama, Yukio Abe, Kenya Kusunose, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Diagnostic accuracy of point-of-care ultrasound with artificial intelligence-assisted assessment of left ventricular ejection fraction
Pouya Motazedian, Jeffrey A. Marbach, Graeme Prosperi‐Porta, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 11
Anticipating impending peripheral intravenous catheter failure: A diagnostic accuracy observational study combining ultrasound and artificial intelligence to improve clinical care
Amit Bahl, Steven Johnson, Nicholas Mielke, et al.
The Journal of Vascular Access (2025)
Closed Access
A scoping review on the integration of artificial intelligence in point-of-care ultrasound: Current clinical applications
Junu Kim, Sandhya Maranna, C. A. Watson, et al.
The American Journal of Emergency Medicine (2025)
Open Access
Snapshot artificial intelligence—determination of ejection fraction from a single frame still image: a multi-institutional, retrospective model development and validation study
Jeffrey G. Malins, D. M. Anisuzzaman, John I. Jackson, et al.
The Lancet Digital Health (2025) Vol. 7, Iss. 4, pp. e255-e263
Closed Access
Use of Artificial Intelligence and Machine Learning in Critical Care Ultrasound
Marcus Peck, Hannah Conway
Critical Care Clinics (2025)
Closed Access
Overcoming barriers in the use of artificial intelligence in point of care ultrasound
Roberto Vega, Masood Dehghan, Arun Nagdev, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Assessment of an Artificial Intelligence Tool for Estimating Left Ventricular Ejection Fraction in Echocardiograms from Apical and Parasternal Long-Axis Views
Roberto Vega, Cherise Kwok, Abhilash Rakkunedeth Hareendranathan, et al.
Diagnostics (2024) Vol. 14, Iss. 16, pp. 1719-1719
Open Access | Times Cited: 3
Handheld Echocardiography Measurements Concordance and Findings Agreement: An Exploratory Study
Mariam Haji-Hassan, Bogdan Duțu, Sorana D. Bolboacă
Diagnostics (2023) Vol. 13, Iss. 5, pp. 853-853
Open Access | Times Cited: 6
Prospective Comparison of Handheld Ultrasound Devices from Different Manufacturers with Respect to B-Scan Quality and Clinical Significance for Various Abdominal Sonography Questions
Daniel Merkel, Tim Felix Züllich, Christoph Schneider, et al.
Diagnostics (2023) Vol. 13, Iss. 24, pp. 3622-3622
Open Access | Times Cited: 6
Real-time automatic quantification of left ventricular function by hand-held ultrasound devices in patients with suspected heart failure: a feasibility study of a diagnostic test with data from general practitioners, nurses and cardiologists
Anna Katarina Hjorth‐Hansen, Malgorzata Izabela Magelssen, Garrett Newton Andersen, et al.
BMJ Open (2022) Vol. 12, Iss. 10, pp. e063793-e063793
Open Access | Times Cited: 9
Association of biomarkers and risk scores with subclinical left ventricular dysfunction in patients with type 2 diabetes mellitus
Amera Halabi, Elizabeth Potter, Hilda Yang, et al.
Cardiovascular Diabetology (2022) Vol. 21, Iss. 1
Open Access | Times Cited: 9
Clinical Influence of Handheld Ultrasound, Supported by Automatic Quantification and Telemedicine, in Suspected Heart Failure
Malgorzata Izabela Magelssen, Anna Katarina Hjorth‐Hansen, Garrett Newton Andersen, et al.
Ultrasound in Medicine & Biology (2023) Vol. 49, Iss. 5, pp. 1137-1144
Closed Access | Times Cited: 4
Handheld ultrasound in cardiology: Current perspective
Dominika Filipiak‐Strzecka, Lipiec Piotr, Kasprzak D Jarosław
Advances in Clinical and Experimental Medicine (2023) Vol. 32, Iss. 3, pp. 267-274
Open Access | Times Cited: 2
Experiencia con la herramienta ultrasonográfica Kosmos en el abordaje y tratamiento de pacientes de la consulta externa de insuficiencia cardiaca: un estudio transversal unicéntrico
Ulises Gómez-Álvarez, Juan C. de la Fuente-Mancera, Neftalí Eduardo Antonio-Villa, et al.
Archivos de cardiología de México (2024) Vol. 94, Iss. 1
Open Access
Experience with the Kosmos ultrasonographic tool in the approach and treatment of ambulatory patients of a heart failure clinic: a single-center cross-sectional study
Ulises Gómez-Álvarez, Juan C. de la Fuente-Mancera, Neftalí Eduardo Antonio-Villa, et al.
Deleted Journal (2024) Vol. 94, Iss. 1
Open Access
Automatic tablet‐based monoplane quantification of stroke volume and left ventricular ejection fraction: A comparative assessment against computer‐based biplane and monoplane tools
Frederique M. de Raat, Peter Bingley, Sjoerd Bouwmeester, et al.
Echocardiography (2024) Vol. 41, Iss. 8
Open Access
Use of Artificial Intelligence to Assess Cardiac Function by Echocardiography: Systematic Review of the State of the Art
Henrique Alexsander Neves, Bruna Sadae Yuasa, Thamires Hadassa Leite Pereira Costa, et al.
ARQUIVOS BRASILEIROS DE CARDIOLOGIA - IMAGEM CARDIOVASCULAR (2023) Vol. 36, Iss. 4
Open Access | Times Cited: 1
User experience and image quality influence on performance of automated real-time quantification of left ventricular function by handheld ultrasound devices: a diagnostic accuracy study with data from general practitioners, nurses and cardiologists

Open Heart (2022) Vol. 9, Iss. 2, pp. e002083-e002083
Open Access | Times Cited: 1
Uso da Inteligência Artificial para Avaliação da Função Cardíaca pela Ecocardiografia: Revisão Sistemática do Estado da Arte
Henrique Alexsander Neves, Bruna Sadae Yuasa, Thamires Hadassa Leite Pereira Costa, et al.
ARQUIVOS BRASILEIROS DE CARDIOLOGIA - IMAGEM CARDIOVASCULAR (2023) Vol. 36, Iss. 4
Open Access
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