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:

Development of machine learning algorithms for prediction of prolonged opioid prescription after surgery for lumbar disc herniation
Aditya V. Karhade, Paul T. Ogink, Quirina C. B. S. Thio, et al.
The Spine Journal (2019) Vol. 19, Iss. 11, pp. 1764-1771
Closed Access | Times Cited: 92

Showing 26-50 of 92 citing articles:

A Machine-Learning Algorithm to Predict the Likelihood of Prolonged Opioid Use Following Arthroscopic Hip Surgery
Clare Grazal, Ashley B. Anderson, Gregory J. Booth, et al.
Arthroscopy The Journal of Arthroscopic and Related Surgery (2021) Vol. 38, Iss. 3, pp. 839-847.e2
Closed Access | Times Cited: 24
Health and Socioeconomic Risk Factors for Unplanned Hospitalization Following Ambulatory Unicompartmental Knee Arthroplasty: Development of a Patient Selection Tool Using Machine Learning
Joshua R. Labott, Yining Lu, Harold I. Salmons, et al.
The Journal of Arthroplasty (2023) Vol. 38, Iss. 10, pp. 1982-1989
Closed Access | Times Cited: 9
Public Health Informatics and the Perioperative Physician: Looking to the Future
Seshadri C. Mudumbai, Rodney A. Gabriel, Stephen Howell, et al.
Anesthesia & Analgesia (2024) Vol. 138, Iss. 2, pp. 253-272
Open Access | Times Cited: 3
Optimizing prediction accuracy for early recurrent lumbar disc herniation with a directional mutation-guided SVM model
Mengxian Jia, Jiaxin Lai, Kan Li, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108297-108297
Closed Access | Times Cited: 3
Predictive modeling in spine surgery
Azeem Tariq Malik, Safdar N. Khan
Annals of Translational Medicine (2019) Vol. 7, Iss. S5, pp. S173-S173
Open Access | Times Cited: 29
Development of a Machine Learning Algorithm to Predict Nonroutine Discharge Following Unicompartmental Knee Arthroplasty
Yining Lu, Zain Khazi, Avinesh Agarwalla, et al.
The Journal of Arthroplasty (2020) Vol. 36, Iss. 5, pp. 1568-1576
Closed Access | Times Cited: 25
A predictive-modeling based screening tool for prolonged opioid use after surgical management of low back and lower extremity pain
Yi Zhang, Parastou Fatemi, Zachary A. Medress, et al.
The Spine Journal (2020) Vol. 20, Iss. 8, pp. 1184-1195
Closed Access | Times Cited: 24
Prediction of Prolonged Opioid Use After Surgery in Adolescents: Insights From Machine Learning
Andrew Ward, Trisha Jani, Elizabeth De Souza, et al.
Anesthesia & Analgesia (2021)
Open Access | Times Cited: 22
SMART on FHIR in spine: integrating clinical prediction models into electronic health records for precision medicine at the point of care
Aditya V. Karhade, Joseph H. Schwab, Guilherme Del Fiol, et al.
The Spine Journal (2020) Vol. 21, Iss. 10, pp. 1649-1651
Open Access | Times Cited: 23
Utility of machine learning algorithms in degenerative cervical and lumbar spine disease: a systematic review
M. E. Stephens, Christen M. O’Neal, Alison M. Westrup, et al.
Neurosurgical Review (2021) Vol. 45, Iss. 2, pp. 965-978
Closed Access | Times Cited: 19
Patient-Reported Data Augment Prediction Models of Persistent Opioid Use after Elective Upper Extremity Surgery
Aviram M. Giladi, Michael M. Shipp, Kavya K. Sanghavi, et al.
Plastic & Reconstructive Surgery (2023)
Closed Access | Times Cited: 7
Preserving privacy in big data research: the role of federated learning in spine surgery
Hania Shahzad, Cole Veliky, Hai Le, et al.
European Spine Journal (2024) Vol. 33, Iss. 11, pp. 4076-4081
Closed Access | Times Cited: 2
Moving towards the use of artificial intelligence in pain management
Ryan Antel, Sera Whitelaw, Geneviève Gore, et al.
European Journal of Pain (2024)
Open Access | Times Cited: 2
How Does the Skeletal Oncology Research Group Algorithm’s Prediction of 5-year Survival in Patients with Chondrosarcoma Perform on International Validation?
Michiel E. R. Bongers, Aditya V. Karhade, Elisabetta Setola, et al.
Clinical Orthopaedics and Related Research (2020) Vol. 478, Iss. 10, pp. 2300-2308
Open Access | Times Cited: 19
Predicting postoperative opioid use with machine learning and insurance claims in opioid-naïve patients
Jaewon Hur, Shengpu Tang, Vidhya Gunaseelan, et al.
The American Journal of Surgery (2021) Vol. 222, Iss. 3, pp. 659-665
Open Access | Times Cited: 17
Incidence and risk factors for prolonged postoperative opioid use following lumbar spine surgery: a cohort study
Anshit Goyal, Stephanie Payne, Lindsey R. Sangaralingham, et al.
Journal of Neurosurgery Spine (2021) Vol. 35, Iss. 5, pp. 583-591
Closed Access | Times Cited: 17
Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens
Maia Jacobs, Jeffrey He, Melanie F. Pradier, et al.
(2021)
Open Access | Times Cited: 15
Identifying High-Risk Comorbidities Associated with Opioid Use Patterns Using Electronic Health Record Prescription Data
Mariela V. Jennings, Hyunjoon Lee, Daniel Rocha, et al.
Complex Psychiatry (2022) Vol. 8, Iss. 1-2, pp. 47-56
Open Access | Times Cited: 10
Using Natural Language Processing and Machine Learning to Identify Hospitalized Patients with Opioid Use Disorder.
Suzanne V. Blackley, Erin MacPhaul, Bianca Martin, et al.
(2020) Vol. 2020, pp. 233-242
Closed Access | Times Cited: 15
Perioperative Factors Associated With Chronic Opioid Use After Spine Surgery
Eric Y. Montgomery, Mark N. Pernik, Zachary D. Johnson, et al.
Global Spine Journal (2021) Vol. 13, Iss. 6, pp. 1450-1456
Open Access | Times Cited: 13
Does the SORG Orthopaedic Research Group Hip Fracture Delirium Algorithm Perform Well on an Independent Intercontinental Cohort of Patients With Hip Fractures Who Are 60 Years or Older?
Jacobien H. F. Oosterhoff, Tarandeep Oberai, Aditya V. Karhade, et al.
Clinical Orthopaedics and Related Research (2022) Vol. 480, Iss. 11, pp. 2205-2213
Open Access | Times Cited: 9
Limitations in Evaluating Machine Learning Models for Imbalanced Binary Outcome Classification in Spine Surgery: A Systematic Review
Marc Ghanem, Abdul Karim Ghaith, Victor Gabriel El-Hajj, et al.
Brain Sciences (2023) Vol. 13, Iss. 12, pp. 1723-1723
Open Access | Times Cited: 5
Machine Learning Algorithms Predict Prolonged Opioid Use in Opioid-Naïve Primary Hip Arthroscopy Patients
Kyle N. Kunze, Evan M. Polce, Thomas D. Alter, et al.
JAAOS Global Research and Reviews (2021) Vol. 5, Iss. 5, pp. e21.00093-8
Open Access | Times Cited: 12
Prediction of 30-Day Mortality Following Revision Total Hip and Knee Arthroplasty: Machine Learning Algorithms Outperform CARDE-B, 5-Item, and 6-Item Modified Frailty Index Risk Scores
Christian A. Péan, Anirudh Buddhiraju, Michelle R Shimizu, et al.
The Journal of Arthroplasty (2024) Vol. 39, Iss. 11, pp. 2824-2830
Closed Access | Times Cited: 1
Artificial Intelligence Technologies in Neurosurgery: a Systematic Literature Review Using Topic Modeling. Part II: Research Objectives and Perspectives
Gleb Danilov, Michael Shifrin, Konstantin Kotik, et al.
Sovremennye tehnologii v medicine (2020) Vol. 12, Iss. 6, pp. 111-111
Open Access | Times Cited: 12

Scroll to top