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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:

A trustworthy AI reality-check: the lack of transparency of artificial intelligence products in healthcare
Jana Fehr, Brian Citro, Rohit Malpani, et al.
Frontiers in Digital Health (2024) Vol. 6
Open Access | Times Cited: 16

Showing 16 citing articles:

Charting a new course in healthcare: early-stage AI algorithm registration to enhance trust and transparency
Michel E. van Genderen, Davy van de Sande, Lotty Hooft, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 8
Guiding AI in radiology: ESR’s recommendations for effective implementation of the European AI Act
Elmar Kotter, Tugba Akinci D’Antonoli, Renato Cuocolo, et al.
Insights into Imaging (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Digital health technologies enabling the transition from pregnancy to early parenthood: A scoping review
Alexander Hochmuth, Alexander Hochmuth, Christoph Dockweiler
Zeitschrift für Evidenz Fortbildung und Qualität im Gesundheitswesen (2025)
Closed Access
The fundamentals of AI ethics in medical imaging
Julia Amann, Valerie Burger, Michelle Livne, et al.
Elsevier eBooks (2025), pp. 7-33
Closed Access
Artificial intelligence and natural language processing for improved telemedicine: Before, during and after remote consultation
Tiago Cunha Reis
Atención Primaria (2025) Vol. 57, Iss. 8, pp. 103228-103228
Closed Access
The scientific evidence of commercial AI products for MRI acceleration: a systematic review
Stefan J. Fransen, Christian Roest, Frank F.J. Simonis, et al.
European Radiology (2025)
Open Access
Cultivating Patient-Centered Healthcare Artificial Intelligence Transparency: Considerations for AI Documentation
Austin M. Stroud, Jennifer Miller, Barbara Barry
The American Journal of Bioethics (2025) Vol. 25, Iss. 3, pp. 129-131
Closed Access
Künstliche Intelligenz in der Medizin – Chancen und Risiken aus ethischer Sicht
Saskia Metan, Florian Bruns
Deleted Journal (2025)
Closed Access
The Way Forward to Embrace Artificial Intelligence in Public Health
Georges Hattab, Christopher Irrgang, Nils Körber, et al.
American Journal of Public Health (2024), pp. e1-e6
Closed Access | Times Cited: 1
Managing a patient with uveitis in the era of artificial intelligence: Current approaches, emerging trends, and future perspectives
William Rojas‐Carabali, Carlos Cifuentes‐González, Laura Gutiérrez-Sinisterra, et al.
Asia-Pacific Journal of Ophthalmology (2024) Vol. 13, Iss. 4, pp. 100082-100082
Open Access | Times Cited: 1
Artificial Intelligence in Medical Affairs: A New Paradigm with Novel Opportunities
Emma Fröling, Neda Rajaeean, Klara Sonnie Hinrichsmeyer, et al.
Pharmaceutical Medicine (2024)
Open Access | Times Cited: 1
Modeling of artificial intelligence-based respiratory motion prediction in MRI-guided radiotherapy: a review
Xiangbin Zhang, Yan Di, Haonan Xiao, et al.
Radiation Oncology (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 1
Is Generative AI Increasing the Risk for Technology‐Mediated Trauma Among Vulnerable Populations?
Abdul‐Fatawu Abdulai
Nursing Inquiry (2024) Vol. 32, Iss. 1
Open Access | Times Cited: 1
Synthetic Biology and AI
Archana Lakshmaiah, Chandana Korrapati, Suresh Challa, et al.
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2024), pp. 265-290
Closed Access
A comprehensive survey and classification of evaluation criteria for trustworthy artificial intelligence
Louise McCormack, Malika Bendechache
AI and Ethics (2024)
Closed Access
Patient centric trustworthy AI in medical analysis and disease prediction: A Comprehensive survey and taxonomy
Avaneesh Singh, Krishna Kumar Sharma, Manish Kumar Bajpai, et al.
Applied Soft Computing (2024), pp. 112374-112374
Closed Access
Exploring key stakeholders’ perspectives on integrating the EU AI Act with the MDR for certifying AI medical devices
Edmund Balogun, D F D'Costa, Auxane Boch, et al.
AI and Ethics (2024)
Open Access
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