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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:

Not all biases are bad: equitable and inequitable biases in machine learning and radiology
Mirjam Pot, Nathalie Kieusseyan, Barbara Prainsack
Insights into Imaging (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Mitigating Bias in Radiology Machine Learning: 1. Data Handling
Pouria Rouzrokh, Bardia Khosravi, Shahriar Faghani, et al.
Radiology Artificial Intelligence (2022) Vol. 4, Iss. 5
Open Access | Times Cited: 79
Understanding and Mitigating Bias in Imaging Artificial Intelligence
Ali S. Tejani, Yee S. Ng, Yin Xi, et al.
Radiographics (2024) Vol. 44, Iss. 5
Closed Access | Times Cited: 22
Ethics of AI in Radiology: A Review of Ethical and Societal Implications
Melanie Goisauf, Mónica Cano Abadía
Frontiers in Big Data (2022) Vol. 5
Open Access | Times Cited: 50
Fair and equitable AI in biomedical research and healthcare: Social science perspectives
Renate Baumgartner, Payal Arora, Corinna Bath, et al.
Artificial Intelligence in Medicine (2023) Vol. 144, pp. 102658-102658
Open Access | Times Cited: 25
“Just” accuracy? Procedural fairness demands explainability in AI-based medical resource allocations
Jon Rueda, Janet Delgado, Iris Parra Jounou, et al.
AI & Society (2022) Vol. 39, Iss. 3, pp. 1411-1422
Open Access | Times Cited: 37
Artificial intelligence for radiological paediatric fracture assessment: a systematic review
Susan C. Shelmerdine, Richard White, Hantao Liu, et al.
Insights into Imaging (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 30
Precision medicine and the problem of structural injustice
Sara Green, Barbara Prainsack, Maya Sabatello
Medicine Health Care and Philosophy (2023) Vol. 26, Iss. 3, pp. 433-450
Open Access | Times Cited: 20
Navigating the ethical landscape of artificial intelligence in radiography: a cross-sectional study of radiographers’ perspectives
Faten Mane Aldhafeeri
BMC Medical Ethics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6
Utilizing Artificial Intelligence to Enhance Health Equity Among Patients with Heart Failure
Amber E. Johnson, LaPrincess C. Brewer, Melvin R. Echols, et al.
Heart Failure Clinics (2022) Vol. 18, Iss. 2, pp. 259-273
Open Access | Times Cited: 27
Racial underrepresentation in dermatological datasets leads to biased machine learning models and inequitable healthcare
Giona Kleinberg, Michael J. Diaz, Sai Batchu, et al.
Journal of Biomed Research (2022) Vol. 3, Iss. 1
Closed Access | Times Cited: 27
Predicting Patient Demographics From Chest Radiographs With Deep Learning
Jason Adleberg, Amr H. Wardeh, Florence X. Doo, et al.
Journal of the American College of Radiology (2022) Vol. 19, Iss. 10, pp. 1151-1161
Closed Access | Times Cited: 23
Accelerating veterinary low field MRI acquisitions using the deep learning based denoising solution HawkAI
Jamil Nour Eddin, Martin Blanchard, Julien Guevar, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
What makes clinical machine learning fair? A practical ethics framework
Marine Hoche, Olga Mineeva, Gunnar Rätsch, et al.
PLOS Digital Health (2025) Vol. 4, Iss. 3, pp. e0000728-e0000728
Open Access
Ethical Design of Data-Driven Decision Support Tools for Improving Cancer Care: Embedded Ethics Review of the 4D PICTURE Project
Marieke Bak, Laura Hartman, Charlotte Graafland, et al.
JMIR Cancer (2025) Vol. 11, pp. e65566-e65566
Open Access
AI-Based CXR First Reading: Current Limitations to Ensure Practical Value
Yuriy А. Vasilev, Anton V. Vladzymyrskyy, Olga V. Omelyanskaya, et al.
Diagnostics (2023) Vol. 13, Iss. 8, pp. 1430-1430
Open Access | Times Cited: 12
Ethical assessments and mitigation strategies for biases in AI-systems used during the COVID-19 pandemic
Alicia de Manuel, Janet Delgado, Iris Parra Jounou, et al.
Big Data & Society (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 12
Evolving Horizons in Radiation Therapy Auto-Contouring: Distilling Insights, Embracing Data-Centric Frameworks, and Moving Beyond Geometric Quantification
Kareem A. Wahid, Carlos Cárdenas, Barbara Marquez, et al.
Advances in Radiation Oncology (2024) Vol. 9, Iss. 7, pp. 101521-101521
Open Access | Times Cited: 4
Bias and fairness
Andrew P. King, Tiarna Lee
Elsevier eBooks (2025), pp. 247-264
Closed Access
Artificial intelligence in public health: promises, challenges, and an agenda for policy makers and public health institutions
Димитра Пантели, Keyrellous Adib, S Buttigieg, et al.
The Lancet Public Health (2025)
Open Access
Towards Fairness in AI for Melanoma Detection: Systemic Review and Recommendations
Laura N. Montoya, Jennafer Shae Roberts, Belén Sánchez Hidalgo
Lecture notes in networks and systems (2025), pp. 320-341
Closed Access
Informed Chemical Classification of Organophosphorus Compounds via Unsupervised Machine Learning of X-ray Absorption Spectroscopy and X-ray Emission Spectroscopy
Samantha Tetef, Vikram Kashyap, William M. Holden, et al.
The Journal of Physical Chemistry A (2022) Vol. 126, Iss. 29, pp. 4862-4872
Closed Access | Times Cited: 16
Artificial intelligence in psychiatry, present trends, and challenges: An updated review
Vijaya Chandra Reddy Avula, Sridhar Amalakanti
Archives of Mental Health (2023)
Open Access | Times Cited: 10
Statistical Analysis—Measurement Error
Timo B. Brakenhoff, Maarten van Smeden, Daniel L. Oberski
Springer eBooks (2023), pp. 97-108
Closed Access | Times Cited: 9
How AI challenges the medical device regulation: patient safety, benefits, and intended uses
Daria Onitiu, Sandra Wachter, Brent Mittelstadt
Journal of Law and the Biosciences (2024)
Open Access | Times Cited: 3
Opportunities and Challenges of Using Artificial Intelligence in Securing Cyber-Physical Systems
Livinus Obiora Nweke, Sule Yildirim Yayilgan
(2024), pp. 131-164
Closed Access | Times Cited: 3
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