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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:

Artificial intelligence to identify fractures on pediatric and young adult upper extremity radiographs
John R. Zech, Diego Jaramillo, Jaan Altosaar, et al.
Pediatric Radiology (2023) Vol. 53, Iss. 12, pp. 2386-2397
Closed Access | Times Cited: 17

Showing 17 citing articles:

Artificial intelligence improves resident detection of pediatric and young adult upper extremity fractures
John R. Zech, Chimere Ezuma, Shreya Patel, et al.
Skeletal Radiology (2024) Vol. 53, Iss. 12, pp. 2643-2651
Closed Access | Times Cited: 9
A practical guide to the development and deployment of deep learning models for the orthopaedic surgeon: Part III, focus on registry creation, diagnosis, and data privacy
Jacob F. Oeding, Linjun Yang, Joaquín Sánchez‐Sotelo, et al.
Knee Surgery Sports Traumatology Arthroscopy (2024) Vol. 32, Iss. 3, pp. 518-528
Closed Access | Times Cited: 6
Self-reporting with checklists in artificial intelligence research on medical imaging: a systematic review based on citations of CLAIM
Burak Koçak, Ali Keleş, Tugba Akinci D’Antonoli
European Radiology (2023) Vol. 34, Iss. 4, pp. 2805-2815
Closed Access | Times Cited: 14
An accelerated deep learning model can accurately identify clinically important humeral and scapular landmarks on plain radiographs obtained before and after anatomic arthroplasty
William L. Crutcher, Ishan Dane, Anastasia J. Whitson, et al.
International Orthopaedics (2025)
Closed Access
Forearm fractures in adults
Niyati Jain, Hari Iyer, Stephen D. Gill
Surgery (Oxford) (2025)
Closed Access
Impact of deep learning on pediatric elbow fracture detection: a systematic review and meta-analysis
Le Nguyen Binh, Nguyen Thanh Nhu, Pham Thi Uyen Nhi, et al.
European Journal of Trauma and Emergency Surgery (2025) Vol. 51, Iss. 1
Closed Access
Recent topics in musculoskeletal imaging focused on clinical applications of AI: How should radiologists approach and use AI?
Taiki Nozaki, Masahiro Hashimoto, Daiju Ueda, et al.
La radiologia medica (2025)
Closed Access
Artificial intelligence in the interpretation of upper extremity trauma radiographs: A systematic review and meta-analysis
Matthew Mellon, Joshua Dworsky‐Fried, Preksha Rathod, et al.
JSES Reviews Reports and Techniques (2025)
Open Access
Artificial intelligence (AI) in radiological paediatric fracture assessment: an updated systematic review
Emily Ashworth, Emma Allan, Cato Pauling, et al.
European Radiology (2025)
Closed Access
What’s new in pediatric musculoskeletal imaging
Matan Kraus, Lihi Pertman, Iris Eshed
Journal of Children s Orthopaedics (2025)
Open Access
AI as teacher: effectiveness of an AI-based training module to improve trainee pediatric fracture detection
Sean O'Rourke, S. C. Xu, Stephanie Carrero, et al.
Skeletal Radiology (2025)
Closed Access
Diagnostic performance of an AI algorithm for the detection of appendicular bone fractures in pediatric patients
Paolo Niccolò Franco, Cesare Maino, Ilaria Mariani, et al.
European Journal of Radiology (2024) Vol. 178, pp. 111637-111637
Closed Access | Times Cited: 3
Cultivating diagnostic clarity: The importance of reporting artificial intelligence confidence levels in radiologic diagnoses
Mobina Fathi, Kimia Vakili, Ramtin Hajibeygi, et al.
Clinical Imaging (2024) Vol. 117, pp. 110356-110356
Closed Access | Times Cited: 1
Artificial intelligence in fracture detection on radiographs: a literature review
Antonio Lo Mastro, Enrico Grassi, Daniela Berritto, et al.
Japanese Journal of Radiology (2024)
Closed Access
Artificial intelligence: a primer for pediatric radiologists
Marcelo Straus Takahashi, Lane F. Donnelly, Selima Siala
Pediatric Radiology (2024)
Closed Access
Bridging the experience gap in pediatric radiology: towards AI-assisted diagnosis for children
Elanchezhian Somasundaram, Arthur B. Meyers
Pediatric Radiology (2023) Vol. 53, Iss. 12, pp. 2398-2399
Closed Access
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