Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Comparison of Mammography AI Algorithms with a Clinical Risk Model for 5-year Breast Cancer Risk Prediction: An Observational Study
Vignesh A. Arasu, Laurel A. Habel, Ninah Achacoso, et al.
Radiology (2023) Vol. 307, Iss. 5
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

The Lancet Breast Cancer Commission
Charlotte E. Coles, Helena Earl, Benjamin O. Anderson, et al.
The Lancet (2024) Vol. 403, Iss. 10439, pp. 1895-1950
Open Access | Times Cited: 64
Artificial Intelligence in Breast Cancer Diagnosis and Personalized Medicine
Jong Seok Ahn, Sangwon Shin, Su‐A Yang, et al.
Journal of Breast Cancer (2023) Vol. 26, Iss. 5, pp. 405-405
Open Access | Times Cited: 51
Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions
William Lotter, Michael J. Hassett, Nikolaus Schultz, et al.
Cancer Discovery (2024) Vol. 14, Iss. 5, pp. 711-726
Open Access | Times Cited: 36
Patient Consent and The Right to Notice and Explanation of AI Systems Used in Health Care
Meghan E. Hurley, Benjamin Lang, Kristin M. Kostick, et al.
The American Journal of Bioethics (2024), pp. 1-13
Closed Access | Times Cited: 23
AsymMirai: Interpretable Mammography-based Deep Learning Model for 1–5-year Breast Cancer Risk Prediction
Jon Donnelly, Luke Moffett, Alina Jade Barnett, et al.
Radiology (2024) Vol. 310, Iss. 3
Closed Access | Times Cited: 11
Are better AI algorithms for breast cancer detection also better at predicting risk? A paired case–control study
Ruggiero Santeramo, Céleste Damiani, Jiefei Wei, et al.
Breast Cancer Research (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 7
Cost-Effectiveness of AI for Risk-Stratified Breast Cancer Screening
Harry Hill, Cristina Roadevin, Stephen W. Duffy, et al.
JAMA Network Open (2024) Vol. 7, Iss. 9, pp. e2431715-e2431715
Open Access | Times Cited: 6
Use of an AI Score Combining Cancer Signs, Masking, and Risk to Select Patients for Supplemental Breast Cancer Screening
Y Liu, Moein Sorkhei, Karin Dembrower, et al.
Radiology (2024) Vol. 311, Iss. 1
Closed Access | Times Cited: 6
Promoting Artificial Intelligence for Global Breast Cancer Risk Prediction and Screening in Adult Women: A Scoping Review
Lea Sacca, Diana Lobaina, Sara Burgoa, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 9, pp. 2525-2525
Open Access | Times Cited: 5
Artificial Intelligence-Driven Mammography-Based Future Breast Cancer Risk Prediction: A Systematic Review
Cody M. Schopf, Ojas A. Ramwala, Kathryn P. Lowry, et al.
Journal of the American College of Radiology (2023) Vol. 21, Iss. 2, pp. 319-328
Closed Access | Times Cited: 11
European validation of an image-derived AI-based short-term risk model for individualized breast cancer screening—a nested case-control study
Mikael Eriksson, Marta Román, Axel Gräwingholt, et al.
The Lancet Regional Health - Europe (2023) Vol. 37, pp. 100798-100798
Open Access | Times Cited: 10
Conformable Ultrasound Breast Patch - The Future of Breast Cancer Screening?
Andreas Giannakou, Canan Dağdeviren, Tolga Özmen
Meme sağlığı dergisi/Meme sağlığı dergisi (2025) Vol. 21, Iss. 1, pp. 90-92
Open Access
AI image analysis as the basis for risk-stratified screening
Fredrik Strand
Japanese Journal of Radiology (2025)
Open Access
The Future of Breast Cancer Organized Screening Program Through Artificial Intelligence: A Scoping Review
Emma Altobelli, Paolo Matteo Angeletti, Marco Ciancaglini, et al.
Healthcare (2025) Vol. 13, Iss. 4, pp. 378-378
Open Access
Role of AI in empowering and redefining the oncology care landscape: perspective from a developing nation
Isha Goel, Yogendra Bhaskar, Nand Kumar, et al.
Frontiers in Digital Health (2025) Vol. 7
Open Access
Harnessing artificial intelligence for theragnostic applications: Current landscape and future directions
Arundhati Pande, Abhishek Kumar, Ashish Anjankar
Multidisciplinary Reviews (2025) Vol. 8, Iss. 7, pp. 2025218-2025218
Closed Access
Keeping the human in the loop: are autonomous decisions inevitable?
Jonas Pöhler, Nadine Flegel, Tilo Mentler, et al.
i-com (2025)
Open Access
Application of Artificial Intelligence in Identifying Human Immunoglobulin and Albumin in Commercial Intravenous Drugs
Juan Padierna-Olivos, Juan Francisco Sánchez Ruiz, Gustavo Alonso Martínez-Blanco, et al.
Journal of Pharmaceutical Innovation (2025) Vol. 20, Iss. 2
Closed Access
The future is here: an introduction to the Veterinary Oncology collection on Artificial Intelligence and Informatics
Christopher J. Pinard
Veterinary oncology. (2025) Vol. 2, Iss. 1
Open Access
External Evaluation of a Mammography-based Deep Learning Model for Predicting Breast Cancer in an Ethnically Diverse Population
Olasubomi J. Omoleye, Anna Woodard, Frederick M. Howard, et al.
Radiology Artificial Intelligence (2023) Vol. 5, Iss. 6
Open Access | Times Cited: 8
Artificial Intelligence-Powered Imaging Biomarker Based on Mammography for Breast Cancer Risk Prediction
Eun Kyung Park, Hyeonsoo Lee, Minjeong Kim, et al.
Diagnostics (2024) Vol. 14, Iss. 12, pp. 1212-1212
Open Access | Times Cited: 3
Early Detection of Breast Cancer in MRI Using AI
Lukas Hirsch, Yu Huang, Hernán A. Makse, et al.
Academic Radiology (2024)
Open Access | Times Cited: 3
Artificial Intelligence for Breast Cancer Risk Assessment
Kathryn P. Lowry, Case C Zuiderveld
Radiologic Clinics of North America (2024) Vol. 62, Iss. 4, pp. 619-625
Closed Access | Times Cited: 2
Enhancing Early-Stage Breast Cancer Survivorship: Evidence-Based Strategies, Surveillance Testing, and Imaging Guidelines
Mitchell J. Elliott, Sherry Shen, Diana L. Lam, et al.
American Society of Clinical Oncology Educational Book (2024) Vol. 44, Iss. 3
Closed Access | Times Cited: 2
Digital pathology implementation in cancer diagnostics: towards informed decision-making
Oksana Sulaieva, Oleksandr Dudin, Olena Koshyk, et al.
Frontiers in Digital Health (2024) Vol. 6
Open Access | Times Cited: 2
Page 1 - Next Page

Scroll to top