 |
|
Predicting Surgical Complications in Adult Patients Undergoing Anterior Cervical Discectomy and Fusion Using Machine Learning
Varun Arvind, Jun S. Kim, Eric K. Oermann, Deepak Kaji, Samuel K. Cho
Neurospine. 2018;15(4):329-337. Published online 2018 Dec 17 DOI: https://doi.org/10.14245/ns.1836248.124
|
|
Citations to this article as recorded by
 A Bibliometric Analysis of Artificial Intelligence Applications in Spine Care
Yu Zhang, Man Hu, Wenjie Zhao, Xin Liu, Qing Peng, Bo Meng, Sheng Yang, Xinmin Feng, Liang Zhang
Journal of Neurological Surgery Part A: Central European Neurosurgery.2024; 85(01): 062. CrossRef Machine Learning in Spine Surgery: A Narrative Review
Samuel Adida, Andrew D. Legarreta, Joseph S. Hudson, David McCarthy, Edward Andrews, Regan Shanahan, Suchet Taori, Raj Swaroop Lavadi, Thomas J. Buell, D. Kojo Hamilton, Nitin Agarwal, Peter C. Gerszten
Neurosurgery.2024; 94(1): 53. CrossRef Development and external validation of a nomogram for predicting postoperative adverse events in elderly patients undergoing lumbar fusion surgery: comparison of three predictive models
Shuai-Kang Wang, Peng Wang, Zhong-En Li, Xiang-Yu Li, Chao Kong, Shi-Bao Lu
Journal of Orthopaedic Surgery and Research.2024;[Epub] CrossRef Innovations in Spine Surgery: A Narrative Review of Current Integrative Technologies
George Bcharah, Nithin Gupta, Nicholas Panico, Spencer Winspear, Austin Bagley, Morgan Turnow, Randy D'Amico, Alvan-Emeka K. Ukachukwu
World Neurosurgery.2024; 184: 127. CrossRef Enabling Personalized Medicine in Orthopaedic Surgery Through Artificial Intelligence
Nickelas Huffman, Ignacio Pasqualini, Shujaa T. Khan, Alison K. Klika, Matthew E. Deren, Yuxuan Jin, Kyle N. Kunze, Nicolas S. Piuzzi
JBJS Reviews.2024;[Epub] CrossRef Predicting Colonic Neoplasia Surgical Complications: A Machine Learning Approach
Chibueze A. Nwaiwu, Krissia M. Rivera Perla, Logan B. Abel, Isaac J. Sears, Andrew T. Barton, Race C. Peterson, Yao Z. Liu, Ishaani S. Khatri, Indra N. Sarkar, Nishit Shah
Diseases of the Colon & Rectum.2024; 67(5): 700. CrossRef Information fusion and artificial intelligence for smart healthcare: a bibliometric study
Xieling Chen, Haoran Xie, Zongxi Li, Gary Cheng, Mingming Leng, Fu Lee Wang
Information Processing & Management.2023; 60(1): 103113. CrossRef Using Machine Learning and Deep Learning Algorithms to Predict Postoperative Outcomes Following Anterior Cervical Discectomy and Fusion
Rushmin Khazanchi, Anitesh Bajaj, Rohan M. Shah, Austin R. Chen, Samuel G. Reyes, Steven S. Kurapaty, Wellington K. Hsu, Alpesh A. Patel, Srikanth N. Divi
Clinical Spine Surgery: A Spine Publication.2023; 36(3): 143. CrossRef Development and External Validation of a Risk Calculator for Prediction of Major Complications and Readmission After Anterior Cervical Discectomy and Fusion
Akash A. Shah, Sai K. Devana, Changhee Lee, Thomas E. Olson, Alexander Upfill-Brown, William L. Sheppard, Elizabeth L. Lord, Arya N. Shamie, Mihaela van der Schaar, Nelson F. SooHoo, Don Y. Park
Spine.2023; 48(7): 460. CrossRef Are current machine learning applications comparable to radiologist classification of degenerate and herniated discs and Modic change? A systematic review and meta-analysis
Roger Compte, Isabelle Granville Smith, Amanda Isaac, Nathan Danckert, Terence McSweeney, Panagiotis Liantis, Frances M. K. Williams
European Spine Journal.2023; 32(11): 3764. CrossRef Exploring Drivers of Staff Engagement in Healthcare Organizations Using Tree-Based Machine Learning Algorithms
Ragheb Al-Nammari, Mecit Can Emre Simsekler, Adriana Felicia Gabor, Abroon Qazi
IEEE Transactions on Engineering Management.2023; 70(8): 2988. CrossRef Rapid Estimation of Contact Stresses in Imageless Total Knee Arthroplasty
Jun Young Kim, Muhammad Sohail, Heung Soo Kim
Mathematics.2023; 11(16): 3527. CrossRef Advances in artificial intelligence, robotics, augmented and virtual reality in neurosurgery
Kimia Kazemzadeh, Meisam Akhlaghdoust, Alireza Zali
Frontiers in Surgery.2023;[Epub] CrossRef Proposed applications of machine learning to intraoperative neuromonitoring during spine surgeries
John P. Wilson Jr, Deepak Kumbhare, Sandeep Kandregula, Alexander Oderhowho, Bharat Guthikonda, Stanley Hoang
Neuroscience Informatics.2023; 3(4): 100143. CrossRef Using machine learning and big data for the prediction of venous thromboembolic events after spine surgery: A single-center retrospective analysis of multiple models on a cohort of 6869 patients
BenjaminS Hopkins, MichaelB Cloney, EkamjeetS Dhillon, Pavlos Texakalidis, Jonathan Dallas, VincentN Nguyen, Matthew Ordon, Najib El Tecle, ThomasC Chen, PatrickC Hsieh, JohnC Liu, TylerR Koski, NaderS Dahdaleh
Journal of Craniovertebral Junction and Spine.2023; 14(3): 221. CrossRef Machine Learning Applications in Spine Surgery
Themistoklis Tragaris, Ioannis S Benetos, John Vlamis, Spyridon Pneumaticos
Cureus.2023;[Epub] CrossRef 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, Archis Bhandarkar, Andrea de Giorgio, Adrian Elmi-Terander, Mohamad Bydon
Brain Sciences.2023; 13(12): 1723. CrossRef Utility of machine learning algorithms in degenerative cervical and lumbar spine disease: a systematic review
Mark E. Stephens, Christen M. O’Neal, Alison M. Westrup, Fauziyya Y. Muhammad, Daniel M. McKenzie, Andrew H. Fagg, Zachary A. Smith
Neurosurgical Review.2022; 45(2): 965. CrossRef Current Applications of Machine Learning in Spine: From Clinical View
GuanRui Ren, Kun Yu, ZhiYang Xie, PeiYang Wang, Wei Zhang, Yong Huang, YunTao Wang, XiaoTao Wu
Global Spine Journal.2022; 12(8): 1827. CrossRef The State of Machine Learning in Spine Surgery
Edward M. DelSole, Wyatt L. Keck, Aalpen A. Patel
Clinical Spine Surgery: A Spine Publication.2022; 35(2): 80. CrossRef Artificial Intelligence-Driven Prediction Modeling and Decision Making in Spine Surgery Using Hybrid Machine Learning Models
Babak Saravi, Frank Hassel, Sara Ülkümen, Alisia Zink, Veronika Shavlokhova, Sebastien Couillard-Despres, Martin Boeker, Peter Obid, Gernot Lang
Journal of Personalized Medicine.2022; 12(4): 509. CrossRef Artificial Learning and Machine Learning Applications in Spine Surgery: A Systematic Review
Cesar D. Lopez, Venkat Boddapati, Joseph M. Lombardi, Nathan J. Lee, Justin Mathew, Nicholas C. Danford, Rajiv R. Iyer, Marc D. Dyrszka, Zeeshan M. Sardar, Lawrence G. Lenke, Ronald A. Lehman
Global Spine Journal.2022; 12(7): 1561. CrossRef Artificial intelligence in spine care: current applications and future utility
Alexander L. Hornung, Christopher M. Hornung, G. Michael Mallow, J. Nicolás Barajas, Augustus Rush, Arash J. Sayari, Fabio Galbusera, Hans-Joachim Wilke, Matthew Colman, Frank M. Phillips, Howard S. An, Dino Samartzis
European Spine Journal.2022; 31(8): 2057. CrossRef A Computer-Assisted System for Early Mortality Risk Prediction in Patients with Traumatic Brain Injury Using Artificial Intelligence Algorithms in Emergency Room Triage
Kuan-Chi Tu, Tee-Tau Eric Nyam, Che-Chuan Wang, Nai-Ching Chen, Kuo-Tai Chen, Chia-Jung Chen, Chung-Feng Liu, Jinn-Rung Kuo
Brain Sciences.2022; 12(5): 612. CrossRef Could Machine Learning Better Predict Postoperative C5 Palsy of Cervical Ossification of the Posterior Longitudinal Ligament?
Soo Heon Kim, Sun Ho Lee, Dong Ah Shin
Clinical Spine Surgery: A Spine Publication.2022; 35(5): E419. CrossRef Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation
Hao Yang, Jiaxi Li, Siru Liu, Xiaoling Yang, Jialin Liu
JMIR Medical Informatics.2022; 10(6): e36958. CrossRef A Risk Calculator for the Prediction of C5 Nerve Root Palsy After Instrumented Cervical Fusion
Akash A. Shah, Sai K. Devana, Changhee Lee, Amador Bugarin, Michelle K. Hong, Alexander Upfill-Brown, Gideon Blumstein, Elizabeth L. Lord, Arya N. Shamie, Mihaela van der Schaar, Nelson F. SooHoo, Don Y. Park
World Neurosurgery.2022; 166: e703. CrossRef Real-time risk prediction of colorectal surgery-related post-surgical complications using GRU-D model
Xiaoyang Ruan, Sunyang Fu, Curtis B. Storlie, Kellie L. Mathis, David W. Larson, Hongfang Liu
Journal of Biomedical Informatics.2022; 135: 104202. CrossRef Comparison of Deep Learning and Classical Machine Learning Algorithms to Predict Postoperative Outcomes for Anterior Cervical Discectomy and Fusion Procedures With State-of-the-art Performance
Adrian J. Rodrigues, Ethan Schonfeld, Kunal Varshneya, Martin N. Stienen, Victor E. Staartjes, Michael C. Jin, Anand Veeravagu
Spine.2022; 47(23): 1637. CrossRef Prediction of Admission Costs Following Anterior Cervical Discectomy and Fusion Utilizing Machine Learning
Anirudh K. Gowd, Avinesh Agarwalla, Edward C. Beck, Peter B. Derman, Siamak Yasmeh, Todd J. Albert, Joseph N. Liu
Spine.2022; 47(22): 1549. CrossRef The future of artificial intelligence in neurosurgery: A narrative review
Javed Iqbal, Kainat Jahangir, Yusra Mashkoor, Nazia Sultana, Dalia Mehmood, Mohammad Ashraf, Ather Iqbal, Muhammad Hassan Hafeez
Surgical Neurology International.2022; 13: 536. CrossRef Artificial Intelligence in Spinal Imaging: Current Status and Future Directions
Yangyang Cui, Jia Zhu, Zhili Duan, Zhenhua Liao, Song Wang, Weiqiang Liu
International Journal of Environmental Research and Public Health.2022; 19(18): 11708. CrossRef Feasibility of Machine Learning in the Prediction of Short-Term Outcomes Following Anterior Cervical Discectomy and Fusion
Anirudh K. Gowd, Conor N. O’Neill, Ameen Barghi, Tadhg J. O’Gara, Jonathan J. Carmouche
World Neurosurgery.2022; 168: e223. CrossRef Artificial Intelligence and Robotics in Spine Surgery
Jonathan J. Rasouli, Jianning Shao, Sean Neifert, Wende N. Gibbs, Ghaith Habboub, Michael P. Steinmetz, Edward Benzel, Thomas E. Mroz
Global Spine Journal.2021; 11(4): 556. CrossRef TET-dependent GDF7 hypomethylation impairs aqueous humor outflow and serves as a potential therapeutic target in glaucoma
Peixing Wan, Erping Long, Zhidong Li, Yingting Zhu, Wenru Su, Yehong Zhuo
Molecular Therapy.2021; 29(4): 1639. CrossRef Using Predictive Modeling and Machine Learning to Identify Patients Appropriate for Outpatient Anterior Cervical Fusion and Discectomy
Kevin Y. Wang, Krishna V. Suresh, Varun Puvanesarajah, Micheal Raad, Adam Margalit, Amit Jain
Spine.2021; 46(10): 665. CrossRef Neurosurgery and artificial intelligence
Mohammad Mofatteh
AIMS Neuroscience.2021; 8(4): 477. CrossRef The diagnostic and prognostic value of artificial intelligence and artificial neural networks in spinal surgery
Jake M. McDonnell, Shane Richard Evans, Laura McCarthy, Hugo Temperley, Caitlin Waters, Daniel Ahern, Gráinne Cunniffe, Seamus Morris, Keith Synnott, Nick Birch, Joseph S. Butler
The Bone & Joint Journal.2021; 103-B(9): 1442. CrossRef A Primer on the Use of Artificial Intelligence in Spine Surgery
Yoshihiro Katsuura, Luis F. Colón, Alberto A. Perez, Todd J. Albert, Sheeraz A. Qureshi
Clinical Spine Surgery: A Spine Publication.2021; 34(9): 316. CrossRef Applications of Machine Learning in Pediatric Hydrocephalus: A Systematic Review
Bhavya Pahwa, Ojasvini Bali, Sarvesh Goyal, Shweta Kedia
Neurology India.2021; 69(8): 380. CrossRef Comparison of clinical and radiological outcomes in cervical laminoplasty versus laminectomy with fusion in patients with ossification of the posterior longitudinal ligament
Yoon Ha, Jun Jae Shin
Neurosurgical Review.2020; 43(5): 1409. CrossRef The Impact of Artificial Intelligence on Quality and Safety
Michelle S. Lee, Matthew M. Grabowski, Ghaith Habboub, Thomas E. Mroz
Global Spine Journal.2020; 10(1_suppl): 99S. CrossRef Comparison of the effectiveness and safety of bioactive glass ceramic to allograft bone for anterior cervical discectomy and fusion with anterior plate fixation
Hyung Cheol Kim, Jae Keun Oh, Du Su Kim, Jeffrey S. Roh, Tae Woo Kim, Seong Bae An, Hyeong Seok Jeon, Dong Ah Shin, Seong Yi, Keung Nyun Kim, Do Heum Yoon, Yoon Ha
Neurosurgical Review.2020; 43(5): 1423. CrossRef The applications of machine learning in plastic and reconstructive surgery: protocol of a systematic review
Angelos Mantelakis, Ankur Khajuria
Systematic Reviews.2020;[Epub] CrossRef Upper Cervical Surgery, Increased Signal Intensity of the Spinal Cord, and Hypertension as Risk Factors for Dyspnea After Multilevel Anterior Cervical Discectomy and Fusion
Seong Bae An, Jong Joo Lee, Tae Woo Kim, Dong Ah Shin, Seong Yi, Keung Nyun Kim, Do Heum Yoon, Yoon Ha
Spine.2020; 45(7): E379. CrossRef Harnessing Big Data in Neurocritical Care in the Era of Precision Medicine
Ayham Alkhachroum, Kalijah Terilli, Murad Megjhani, Soojin Park
Current Treatment Options in Neurology.2020;[Epub] CrossRef The Application of Artificial Neural Networks and Logistic Regression in the Evaluation of Risk for Dry Eye after Vitrectomy
Wan-Ju Yang, Li Wu, Zhong-Ming Mei, Yi Xiang
Journal of Ophthalmology.2020; 2020: 1. CrossRef Long-Term Effect of Diabetes on Reoperation After Lumbar Spinal Surgery: A Nationwide Population-Based Sample Cohort Study
Chang-Hyun Lee, Chi Heon Kim, Chun Kee Chung, Yunhee Choi, Min-Jung Kim, Dahae Yim, Seung Heon Yang, Dong Hwan Kim, Young San Ko, Sung Bae Park
World Neurosurgery.2020; 139: e439. CrossRef Autonomous image segmentation and identification of anatomical landmarks from lumbar spine intraoperative computed tomography scans using machine learning: A validation study
Krzyzstof Siemionow, Cristian Luciano, Craig Forsthoefel, Suavi Aydogmus
Journal of Craniovertebral Junction and Spine.2020; 11(2): 99. CrossRef A Review on the Use of Artificial Intelligence in Spinal Diseases
Parisa Azimi, Taravat Yazdanian, Edward C. Benzel, Hossein Nayeb Aghaei, Shirzad Azhari, Sohrab Sadeghi, Ali Montazeri
Asian Spine Journal.2020; 14(4): 543. CrossRef Artificial intelligence manages congenital cataract with individualized prediction and telehealth computing
Erping Long, Jingjing Chen, Xiaohang Wu, Zhenzhen Liu, Liming Wang, Jiewei Jiang, Wangting Li, Yi Zhu, Chuan Chen, Zhuoling Lin, Jing Li, Xiaoyan Li, Hui Chen, Chong Guo, Lanqin Zhao, Daoyao Nie, Xinhua Liu, Xin Liu, Zhe Dong, Bo Yun, Wenbin Wei, Fan Xu,
npj Digital Medicine.2020;[Epub] CrossRef Complications of Sine Surgery in Elderly Japanese Patients: Implications for Future of World Population Aging
Motoyuki Umekawa, Keisuke Takai, Makoto Taniguchi
Neurospine.2019; 16(4): 780. CrossRef Hack your Neurospine !
Yoon Ha
Neurospine.2018; 15(4): 283. CrossRef
|