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:

Artificial intelligence in spine care: current applications and future utility
Alexander L. Hornung, Christopher M. Hornung, G. Michael Mallow, et al.
European Spine Journal (2022) Vol. 31, Iss. 8, pp. 2057-2081
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Digital Pathology: Transforming Diagnosis in the Digital Age
N. K. Kiran, Fnu Sapna, FNU Kiran, et al.
Cureus (2023)
Open Access | Times Cited: 33
Artificial Intelligence
Lorella Bottino, Marzia Settino, Mario Cannataro
(2024), pp. 11-23
Closed Access | Times Cited: 9
Machine Learning and Deep Learning in Spinal Injury: A Narrative Review of Algorithms in Diagnosis and Prognosis
Satoshi Maki, Takeo Furuya, Masahiro Inoue, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 3, pp. 705-705
Open Access | Times Cited: 8
Using artificial intelligence to analyze SME e-commerce utilization and growth strategies
Jing Wang
Journal of Computational Methods in Sciences and Engineering (2024) Vol. 24, Iss. 1, pp. 611-621
Closed Access | Times Cited: 6
Applications of artificial intelligence in anesthesia: A systematic review
Monika Kambale, Sammita Jadhav
Saudi Journal of Anaesthesia (2024) Vol. 18, Iss. 2, pp. 249-256
Open Access | Times Cited: 6
Spino-plastic surgery, back to the future
Casey Martinez, Cynthia S. Payne, Jonathan L. Jeger, et al.
Artificial Intelligence Surgery (2025) Vol. 5, Iss. 1, pp. 16-23
Open Access
Machine learning can predict surgical indication: new clustering model from a large adult spine deformity database
Alice Baroncini, Daniel Larrieu, Anouar Bourghli, et al.
European Spine Journal (2025)
Closed Access
Innovation in Spinal Fusion Surgery Techniques; A Review of Current Advance and Future Directions
Aymen Nasreldin Abalkariem, Harsha Sai Krishna Gottimukkala, Mustak Shaikh, et al.
Indus journal of bioscience research. (2025) Vol. 3, Iss. 1, pp. 344-353
Closed Access
Feasibility of generating sagittal radiographs from coronal views using GAN-based deep learning framework in adolescent idiopathic scoliosis
Tito Bassani, Andrea Cina, Fabio Galbusera, et al.
European Radiology Experimental (2025) Vol. 9, Iss. 1
Open Access
Prevention and management of degenerative lumbar spine disorders through artificial intelligence-based decision support systems: a systematic review
Paolo Giaccone, Federico D’Antoni, Fabrizio Russo, et al.
BMC Musculoskeletal Disorders (2025) Vol. 26, Iss. 1
Open Access
Spine Trauma Classifications: Historical, Current, and Emerging Perspectives for Radiologists
Khanak Nandolia, Sonal Saran, Garima Varshney, et al.
Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging (2025)
Open Access
Optimizing the clinical adoption of total joint replacement of the lumbar spine through imaging, robotics and artificial intelligence
S. Craig Humphreys, Jon E. Block, Ahilan Sivaganesan, et al.
Expert Review of Medical Devices (2025), pp. 1-9
Open Access
Artificial Intelligence and Machine Learning Applications in Spine Surgery
Nathan J. Lee, Joseph M. Lombardi, Ronald A. Lehman
The International Journal of Spine Surgery (2023) Vol. 17, Iss. S1, pp. S18-S25
Open Access | Times Cited: 12
An Automated Deep Learning Approach for Spine Segmentation and Vertebrae Recognition Using Computed Tomography Images
Muhammad Usman Saeed, Νικόλαος Δικαίος, Aqsa Dastgir, et al.
Diagnostics (2023) Vol. 13, Iss. 16, pp. 2658-2658
Open Access | Times Cited: 12
Artificial intelligence-aided lytic spinal bone metastasis classification on CT scans
Yuhei Koike, Midori Yui, Satoaki Nakamura, et al.
International Journal of Computer Assisted Radiology and Surgery (2023) Vol. 18, Iss. 10, pp. 1867-1874
Closed Access | Times Cited: 11
Daring discourse: artificial intelligence in pain medicine, opportunities and challenges
Meredith C B Adams, Ariana M. Nelson, Samer Narouze
Regional Anesthesia & Pain Medicine (2023) Vol. 48, Iss. 9, pp. 439-442
Open Access | Times Cited: 11
Preoperative factors predict prolonged length of stay, serious adverse complications, and readmission following operative intervention of proximal humerus fractures: a machine learning analysis of a national database
Alexander L. Hornung, Samuel S. Rudisill, Johnathon R. McCormick, et al.
JSES International (2024) Vol. 8, Iss. 4, pp. 699-708
Open Access | Times Cited: 3
Current Applications and Future Implications of Artificial Intelligence in Spine Surgery and Research: A Narrative Review and Commentary
Alexander T. Yahanda, Karan Joseph, Tim Bui, et al.
Global Spine Journal (2024)
Open Access | Times Cited: 3
Current Trends in Artificial Intelligence-Assisted Spine Surgery: A Systematic Review
Wongthawat Liawrungrueang, Sung Tan Cho, Peem Sarasombath, et al.
Asian Spine Journal (2023) Vol. 18, Iss. 1, pp. 146-157
Open Access | Times Cited: 7
A Bibliometric Analysis of Artificial Intelligence Applications in Spine Care
Yu Zhang, Man Hu, Wenjie Zhao, et al.
Journal of Neurological Surgery Part A Central European Neurosurgery (2023) Vol. 85, Iss. 01, pp. 062-073
Closed Access | Times Cited: 4
Safety and Complications Related to Emerging Technologies
Gianluca Vadalà, Luca Ambrosio, Vincenzo Denaro
Neurospine (2024) Vol. 21, Iss. 1, pp. 6-7
Open Access | Times Cited: 1
Are large language models valid tools for patient information on lumbar disc herniation? The spine surgeons' perspective
Siegmund Lang, Jacopo Antonino Vitale, T. Fekete, et al.
Brain and Spine (2024) Vol. 4, pp. 102804-102804
Open Access | Times Cited: 1
Utilizing a comprehensive machine learning approach to identify patients at high risk for extended length of stay following spinal deformity surgery in pediatric patients with early onset scoliosis
Michael W. Fields, Jay Zaifman, Matan Malka, et al.
Spine Deformity (2024) Vol. 12, Iss. 5, pp. 1477-1483
Closed Access | Times Cited: 1
Integration of Spinal Musculoskeletal System Parameters for Predicting OVCF in the Elderly: A Comprehensive Predictive Model
Song Wang, Xin Zhang, Junyong Zheng, et al.
Global Spine Journal (2024)
Open Access | Times Cited: 1
Applications of artificial intelligence for adolescent idiopathic scoliosis: mapping the evidence
Samuel Goldman, Aaron T. Hui, Sharlene Choi, et al.
Spine Deformity (2024) Vol. 12, Iss. 6, pp. 1545-1570
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top