Journal of Korean Neurosurgical Society

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

Correlations among Cervical, Thoracic, and lumbar Hounsfield Unit measurements for assessment of bone mineral density

Jacob Razzouk, Omar Ramos, Juliette Scolieri, Alex Bouterse, Andrew Cabrera, David Shin, Zachary Brandt, Davis Carter, Nathaniel Wycliffe, Wayne Cheng, Olumide Danisa

Journal of Clinical Neuroscience.2024; 120: 23. CrossRef

Development of a Machine Learning Algorithm to Correlate Lumbar Disc Height on X-rays with Disc Bulging or Herniation

Pao-Chun Lin, Wei-Shan Chang, Kai-Yuan Hsiao, Hon-Man Liu, Ben-Chang Shia, Ming-Chih Chen, Po-Yu Hsieh, Tseng-Wei Lai, Feng-Huei Lin, Che-Cheng Chang

Lossless compression-based detection of osteoporosis using bone X-ray imaging

Journal of X-Ray Science and Technology.2024; 32(2): 475. CrossRef

Quantitative CT lumbar spine BMD cutpoint value for classifying osteoporosis among older East Asian women should be lower than the value for Caucasians

Yì Xiáng J. Wáng, Glen M. Blake, Sheng-Nan Tang, Ali Guermazi, James F. Griffith

Using advanced imaging to measure bone density, compression fracture risk, and risk for construct failure after spine surgery

Nicole D. Agaronnik, Carew Giberson-Chen, Christopher M. Bono

Neurosurgical Management of Cerebrospinal Tumors in the Era of Artificial Intelligence : A Scoping Review

Kuchalambal Agadi, Asimina Dominari, Sameer Saleem Tebha, Asma Mohammadi, Samina Zahid

Journal of Korean Neurosurgical Society.2023; 66(6): 632. CrossRef

Multi-View Computed Tomography Network for Osteoporosis Classification

Dong Hwan Hwang, So Hyeon Bak, Tae-Jun Ha, Yoon Kim, Woo Jin Kim, Hyun-Soo Choi

Current Applications of Machine Learning for Spinal Cord Tumors

Konstantinos Katsos, Sarah E. Johnson, Sufyan Ibrahim, Mohamad Bydon

Generalizability of Deep Learning Classification of Spinal Osteoporotic Compression Fractures on Radiographs Using an Adaptation of the Modified-2 Algorithm-Based Qualitative Criteria

Qifei Dong, Gang Luo, Nancy E. Lane, Li-Yung Lui, Lynn M. Marshall, Sandra K. Johnston, Howard Dabbous, Michael O’Reilly, Ken F. Linnau, Jessica Perry, Brian C. Chang, Jonathan Renslo, David Haynor, Jeffrey G. Jarvik, Nathan M. Cross

Academic Radiology.2023; 30(12): 2973. CrossRef

Artificial Intelligence Methods in Osteoporosis Prediction Problem

Anna Hovakimyan, Siranush Sargsyan, Tatev Hovakimyan, Ani Badalyan

WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE.2023; 20: 171. CrossRef

Machine learning‐based prediction of osteoporosis in postmenopausal women with clinical examined features: A quantitative clinical study

Kainat A. Ullah, Faisal Rehman, Muhammad Anwar, Muhammad Faheem, Naveed Riaz

Applying Machine Learning Analysis Based on Proximal Femur of Abdominal Computed Tomography to Screen for Abnormal Bone Mass in Femur

Xiaoqing Yuan, Yanbo Liang, Hui Yang, Lingling Feng, Hao Sun, Changqin Li, Jian Qin

Artificial Intelligence Applications for Osteoporosis Classification Using Computed Tomography

Wilson Ong, Ren Wei Liu, Andrew Makmur, Xi Zhen Low, Weizhong Jonathan Sng, Jiong Hao Tan, Naresh Kumar, James Thomas Patrick Decourcy Hallinan

A decision support system for osteoporosis risk prediction using machine learning and explainable artificial intelligence

Varada Vivek Khanna, Krishnaraj Chadaga, Niranjana Sampathila, Rajagopala Chadaga, Srikanth Prabhu, Swathi K S, Aditya S. Jagdale, Devadas Bhat

Can Machine Learning Accurately Predict Postoperative Compensation for the Uninstrumented Thoracic Spine and Pelvis After Fusion From the Lower Thoracic Spine to the Sacrum?

Nathan J. Lee, Zeeshan M. Sardar, Venkat Boddapati, Justin Mathew, Meghan Cerpa, Eric Leung, Joseph Lombardi, Lawrence G. Lenke, Ronald A. Lehman

Global Spine Journal.2022; 12(4): 559. 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

Machine learning-based survival rate prediction of Korean hepatocellular carcinoma patients using multi-center data

Byeonggwan Noh, Young Mok Park, Yujin Kwon, Chang In Choi, Byung Kwan Choi, Kwang il Seo, Yo-Han Park, Kwangho Yang, Sunju Lee, Taeyoung Ha, YunKyong Hyon, Myunghee Yoon

Pilot study of a machine‐learning tool to assist in the diagnosis of hand arthritis

Internal Medicine Journal.2022; 52(6): 959. 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

Deep Learning Classification of Spinal Osteoporotic Compression Fractures on Radiographs using an Adaptation of the Genant Semiquantitative Criteria

Qifei Dong, Gang Luo, Nancy E. Lane, Li-Yung Lui, Lynn M. Marshall, Deborah M. Kado, Peggy Cawthon, Jessica Perry, Sandra K Johnston, David Haynor, Jeffrey G. Jarvik, Nathan M. Cross

Academic Radiology.2022; 29(12): 1819. CrossRef

Radiomics analysis based on lumbar spine CT to detect osteoporosis

Yan-Wei Jiang, Xiong-Jie Xu, Rui Wang, Chun-Mei Chen

European Radiology.2022; 32(11): 8019. CrossRef

Conversational Artificial Intelligence for Spinal Pain Questionnaire: Validation and User Satisfaction

Kyoung Hyup Nam, Da Young Kim, Dong Hwan Kim, Jung Hwan Lee, Jae Il Lee, Mi Jeong Kim, Joo Young Park, Jae Hyun Hwang, Sang Seok Yun, Byung Kwan Choi, Min Gyu Kim, In Ho Han

Osteoporosis Screening: Applied Methods and Technological Trends

Mario A. de Oliveira, Raimes Moraes, Everton B. Castanha, Alexandra S. Prevedello, Jozue Vieira Filho, Frederico A. Bussolaro, David García Cava

Medical Engineering & Physics.2022; 108: 103887. CrossRef

Inter-Rater Reliability and Correlation of L1 Hounsfield Unit Measurements with DXA Scores

James Mooney, Sarah Morgan, David Brockington, Dirk Rehder, Steven Rothenberg, Nidal Omar, Paul MacLennan, M.R. Chambers

Journal of Clinical Densitometry.2022; 25(4): 668. CrossRef

Artificial intelligence used to diagnose osteoporosis from risk factors in clinical data and proposing sports protocols

Leila Fasihi, Bakhtyar Tartibian, Rasoul Eslami, Hossein Fasihi

Thematic analysis of articles on artificial intelligence with spine trauma, vertebral metastasis, and osteoporosis using chord diagrams: A systematic review and meta-analysis

Yu-Po Huang, Jwo-Luen Pao, Tsair-Wei Chien, Jui-Chung John Lin, Po-Hsin Chou

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

Systematic review and evaluation of predictive modeling algorithms in spinal surgeries

Prasanth Romiyo, Kevin Ding, Dillon Dejam, Alyssa Franks, Edwin Ng, Komal Preet, Alexander M. Tucker, Tianyi Niu, Daniel T. Nagasawa, Shayan Rahman, Isaac Yang

Journal of the Neurological Sciences.2021; 420: 117184. CrossRef

Deep learning augments liver stiffness classification in children

Pediatric Radiology.2021; 51(3): 381. CrossRef

Validation of a gyroscope-based wearable device for real-time position monitoring of patients in a hospital

Jung Hwan Lee, Jae Il Lee, Dong Hwan Kim, Kyoung Hyup Nam, Tae Jin Jeon, In Ho Han

Technology and Health Care.2021; 29(4): 843. CrossRef

Evolution in fracture risk assessment: artificial versus augmented intelligence

Osteoporosis International.2021; 32(2): 209. CrossRef

Application of artificial intelligence in diagnosis of osteoporosis using medical images: a systematic review and meta-analysis

Osteoporosis International.2021; 32(7): 1279. CrossRef

Quantifying Bone Quality Using Computed Tomography Hounsfield Units in the Mid-sagittal View of the Lumbar Spine

Turki Elarjani, Tyler Warner, Kimanh Nguyen, Stephanie Nguyen, Timur M. Urakov

Predicting survival time of Korean hepatocellular carcinoma patients using the Cox proportional hazards model: a retrospective study based on big data analysis

Yujin Kwon, Jae Ri Kim, Young Mok Park, Byung Kwan Choi, Choongrak Kim, Hae Young Kim, Myunghee Yoon

European Journal of Gastroenterology & Hepatology.2021; 33(7): 1001. CrossRef

A Robust Segmentation Method Based on Improved U-Net

Neural Processing Letters.2021; 53(4): 2947. CrossRef

Machine Learning in Modeling of Mouse Behavior

Marjan Gharagozloo, Abdelaziz Amrani, Kevin Wittingstall, Andrew Hamilton-Wright, Denis Gris

Frontiers in Neuroscience.2021;[Epub] CrossRef

Applications of Machine Learning in Bone and Mineral Research

Endocrinology and Metabolism.2021; 36(5): 928. CrossRef

Texture Feature Extraction of Lumbar Spine Trabecular Bone Radiograph Image using Laplacian of Gaussian Filter with KNN Classification to Diagnose Osteoporosis

Kavita Avinash Patil, K V Mahendra Prashanth, A Ramalingaiah

Journal of Physics: Conference Series.2021; 2070(1): 012137. CrossRef

Andreas M. Fischer, Basel Yacoub, Rock H. Savage, John D. Martinez, Julian L. Wichmann, Pooyan Sahbaee, Sasa Grbic, Akos Varga-Szemes, U. Joseph Schoepf

Journal of Thoracic Imaging.2020; 35(Supplement): S21. CrossRef

Role of Additional Inferomedial Supporting Screws in Osteoporotic 3-Part Proximal Humerus Fracture: Finite Element Analysis

Hyojune Kim, Wonhee Lee, SeungHyun Choi, Erica Kholinne, Euisop Lee, Wael Mohammed Alzahrani, Kyoung Hwan Koh, In-Ho Jeon, Shinseok Kim

Geriatric Orthopaedic Surgery & Rehabilitation.2020; 11: 215145932095695. CrossRef

Machine Learning Solutions for Osteoporosis—A Review

Julien Smets, Enisa Shevroja, Thomas Hügle, William D Leslie, Didier Hans

Journal of Bone and Mineral Research.2020; 36(5): 833. CrossRef

The future of computer-aided diagnostics in chest computed tomography

A. E. Nikolaev, V. Yu. Chernina, I. A. Blokhin, A. N. Shapiev, A. P. Gonchar, V. A. Gombolevskiy, A. V. Petraikin, A. Yu. Silin, G. D. Petrova, S. P. Morozov

Khirurgiya. Zhurnal im. N.I. Pirogova.2019; (12): 91. CrossRef

Applications of Machine Learning Using Electronic Medical Records in Spine Surgery

John T. Schwartz, Michael Gao, Eric A. Geng, Kush S. Mody, Christopher M. Mikhail, Samuel K. Cho

Internet of Things, Digital Biomarker, and Artificial Intelligence in Spine: Current and Future Perspectives

Kyoung Hyup Nam, Dong Hwan Kim, Byung Kwan Choi, In Ho Han