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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:

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement
J. Raymond Geis, Adrian P. Brady, Carol C. Wu, et al.
Radiology (2019) Vol. 293, Iss. 2, pp. 436-440
Open Access | Times Cited: 252

Showing 1-25 of 252 citing articles:

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers
John Mongan, Linda Moy, Charles E. Kahn
Radiology Artificial Intelligence (2020) Vol. 2, Iss. 2, pp. e200029-e200029
Open Access | Times Cited: 884
AI applications to medical images: From machine learning to deep learning
Isabella Castiglioni, Leonardo Rundo, Marina Codari, et al.
Physica Medica (2021) Vol. 83, pp. 9-24
Open Access | Times Cited: 491
Deep learning for tomographic image reconstruction
Ge Wang, Jong Chul Ye, Bruno De Man
Nature Machine Intelligence (2020) Vol. 2, Iss. 12, pp. 737-748
Closed Access | Times Cited: 410
On Interpretability of Artificial Neural Networks: A Survey
Fenglei Fan, Jinjun Xiong, Mengzhou Li, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences (2021) Vol. 5, Iss. 6, pp. 741-760
Open Access | Times Cited: 369
Assessing Radiology Research on Artificial Intelligence: A Brief Guide for Authors, Reviewers, and Readers—From the Radiology Editorial Board
David A. Bluemke, Linda Moy, Miriam A. Bredella, et al.
Radiology (2019) Vol. 294, Iss. 3, pp. 487-489
Closed Access | Times Cited: 285
Ethical framework for Artificial Intelligence and Digital technologies
Mona Ashok, Rohit Madan, Anton Joha, et al.
International Journal of Information Management (2021) Vol. 62, pp. 102433-102433
Open Access | Times Cited: 262
Artificial intelligence: Who is responsible for the diagnosis?
Emanuele Neri, Francesca Coppola, Vittorio Miele, et al.
La radiologia medica (2020) Vol. 125, Iss. 6, pp. 517-521
Open Access | Times Cited: 198
Navigating the pitfalls of applying machine learning in genomics
Sean Whalen, Jacob Schreiber, William Stafford Noble, et al.
Nature Reviews Genetics (2021) Vol. 23, Iss. 3, pp. 169-181
Closed Access | Times Cited: 195
Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology
Lior Drukker, J. Alison Noble, Aris T. Papageorghiou
Ultrasound in Obstetrics and Gynecology (2020) Vol. 56, Iss. 4, pp. 498-505
Open Access | Times Cited: 168
Ethics of Using and Sharing Clinical Imaging Data for Artificial Intelligence: A Proposed Framework
David B. Larson, David Magnus, Matthew P. Lungren, et al.
Radiology (2020) Vol. 295, Iss. 3, pp. 675-682
Closed Access | Times Cited: 148
Artificial intelligence: radiologists’ expectations and opinions gleaned from a nationwide online survey
Francesca Coppola, Lorenzo Faggioni, Daniele Regge, et al.
La radiologia medica (2020) Vol. 126, Iss. 1, pp. 63-71
Closed Access | Times Cited: 147
Voice for Health: The Use of Vocal Biomarkers from Research to Clinical Practice
Guy Fagherazzi, Aurélie Fischer, Muhannad Ismael, et al.
Digital Biomarkers (2021) Vol. 5, Iss. 1, pp. 78-88
Open Access | Times Cited: 128
Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review
Rasheed Omobolaji Alabi, Omar Youssef, Matti Pirinen, et al.
Artificial Intelligence in Medicine (2021) Vol. 115, pp. 102060-102060
Closed Access | Times Cited: 118
Artificial Intelligence and Ethics in Dentistry: A Scoping Review
Carl‐Maria Mörch, Saadet Atsü, Wenji Cai, et al.
Journal of Dental Research (2021) Vol. 100, Iss. 13, pp. 1452-1460
Closed Access | Times Cited: 109
Deep Learning: An Update for Radiologists
Phillip M. Cheng, Emmanuel Montagnon, Rikiya Yamashita, et al.
Radiographics (2021) Vol. 41, Iss. 5, pp. 1427-1445
Closed Access | Times Cited: 109
Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools
Oliver Díaz, Kaisar Kushibar, Richard Osuala, et al.
Physica Medica (2021) Vol. 83, pp. 25-37
Open Access | Times Cited: 105
Ethics & AI: A Systematic Review on Ethical Concerns and Related Strategies for Designing with AI in Healthcare
Fan Li, Nick Ruijs, Yuan Lü
AI (2022) Vol. 4, Iss. 1, pp. 28-53
Open Access | Times Cited: 91
Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How?
Dania Daye, Walter F. Wiggins, Matthew P. Lungren, et al.
Radiology (2022) Vol. 305, Iss. 3, pp. 555-563
Open Access | Times Cited: 81
Interactive and Explainable Region-guided Radiology Report Generation
Tim Tanida, Philip C. Müller, Georgios Kaissis, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 7433-7442
Closed Access | Times Cited: 56
Reimagining Healthcare: Unleashing the Power of Artificial Intelligence in Medicine
Javed Iqbal, Diana Jaimes, Pallavi Makineni, et al.
Cureus (2023)
Open Access | Times Cited: 52
An overview and a roadmap for artificial intelligence in hematology and oncology
Wiebke Rösler, Michael Altenbuchinger, Bettina Baeßler, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 10, pp. 7997-8006
Open Access | Times Cited: 49
Exploring the Impact of Artificial Intelligence on Global Health and Enhancing Healthcare in Developing Nations
Varisha Zuhair, Areesha Babar, Rabbiya Ali, et al.
Journal of Primary Care & Community Health (2024) Vol. 15
Open Access | Times Cited: 41
Effective Integration of Artificial Intelligence in Medical Education
Manuel B. Garcia, Yunifa Miftachul Arif, Zuheir N. Khlaif, et al.
Advances in healthcare information systems and administration book series (2024), pp. 1-19
Open Access | Times Cited: 34
Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA
Adrian P. Brady, Bibb Allen, Jaron Chong, et al.
Radiology Artificial Intelligence (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 26
Ethical and Bias Considerations in Artificial Intelligence (AI)/Machine Learning
Matthew G. Hanna, Liron Pantanowitz, Brian Jackson, et al.
Modern Pathology (2024), pp. 100686-100686
Open Access | Times Cited: 25
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