Current Applications of Machine Learning in Spine: From Clinical View

Brain-inspired spiking neural networks for decoding and understanding muscle activity and kinematics from electroencephalography signals during hand movements

(2021) Kaushalya Kumarasinghe et al.   Scientific Reports

Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review

(2021) Jiamin Yin et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

A survey on incorporating domain knowledge into deep learning for medical image analysis

(2021) Xiaozheng Xie et al.   MEDICAL IMAGE ANALYSIS

Predicting Spinal Surgery Candidacy From Imaging Data Using Machine Learning

(2021) Bayard Wilson et al.   NEUROSURGERY

Novel prognostication of patients with spinal and pelvic chondrosarcoma using deep survival neural networks

(2020) Sung Mo Ryu et al.   BMC Medical Informatics and Decision Making

Identifying Scoliosis in Population-Based Cohorts: Automation of a Validated Method Based on Total Body Dual Energy X-ray Absorptiometry Scans

(2020) Amir Jamaludin et al.   CALCIFIED TISSUE INTERNATIONAL

Prediction of bone mineral density from computed tomography: application of deep learning with a convolutional neural network

(2020) Koichiro Yasaka et al.   EUROPEAN RADIOLOGY

Automatic opportunistic osteoporosis screening using low-dose chest computed tomography scans obtained for lung cancer screening

(2020) Yaling Pan et al.   EUROPEAN RADIOLOGY

Initial classification of low back and leg pain based on objective functional testing: a pilot study of machine learning applied to diagnostics

(2020) Victor E. Staartjes et al.   EUROPEAN SPINE JOURNAL

Interpretable machine learning models for classifying low back pain status using functional physiological variables

(2020) Bernard X. W. Liew et al.   EUROPEAN SPINE JOURNAL

Disease progression model of 4T1 metastatic breast cancer

(2020) Liang Yang et al.   JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS

Can natural language processing provide accurate, automated reporting of wound infection requiring reoperation after lumbar discectomy?

(2020) Aditya V. Karhade et al.   Spine Journal

Machine Learning With Feature Domains Elucidates Candidate Drivers of Hospital Readmission Following Spine Surgery in a Large Single-Center Patient Cohort

(2020) Michael L Martini et al.   NEUROSURGERY

Machine Learning for Predictive Modeling of 90-Day Readmission, Major Medical Complication, and Discharge to a Facility in Patients Undergoing Long Segment Posterior Lumbar Spine Fusion

(2020) Deeptee Jain et al.   SPINE

A Predictive-Modeling Based Screening Tool for Prolonged Opioid Use after Surgical Management of Low Back and Lower Extremity Pain

(2020) Yi Zhang et al.   Spine Journal

Does the SORG algorithm generalize to a contemporary cohort of patients with spinal metastases on external validation?

(2020) Michiel E.R. Bongers et al.   Spine Journal

Development and Validation of Machine Learning Algorithms for Predicting Adverse Events After Surgery for Lumbar Degenerative Spondylolisthesis

(2020) Nida Fatima et al.   World Neurosurgery

Assessment and prediction of spine surgery invasiveness with machine learning techniques

(2020) Andrea Campagner et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Artificial Intelligence Applications in Otology: A State of the Art Review

(2020) Eunice You et al.   OTOLARYNGOLOGY-HEAD AND NECK SURGERY

Accurate prediction of lumbar microdecompression level with an automated MRI grading system

(2020) Brandon L. Roller et al.   SKELETAL RADIOLOGY

Toward automatic C-arm positioning for standard projections in orthopedic surgery

(2020) Lisa Kausch et al.   International Journal of Computer Assisted Radiology and Surgery

Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

(2020) Rafael Lozano et al.   LANCET

Clinical classification of scoliosis patients using machine learning and markerless 3D surface trunk data

(2020) Stephan Rothstock et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

23. Natural language processing for automated identification of intraoperative vascular injury in anterior lumbar spine surgery

(2020) Aditya V. Karhade et al.   Spine Journal

Predictive Model for Selection of Upper Treated Vertebra Using a Machine Learning Approach

(2020) Renaud Lafage et al.   World Neurosurgery

Prediction of Proximal Junctional Kyphosis After Posterior Scoliosis Surgery With Machine Learning in the Lenke 5 Adolescent Idiopathic Scoliosis Patient

(2020) Li Peng et al.   Frontiers in Bioengineering and Biotechnology

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

(2020) Nathan J. Lee et al.   Global Spine Journal

The Role of Machine Learning in Spine Surgery: The Future Is Now

(2020) Michael Chang et al.   Frontiers in Surgery

Drivers of Prolonged Hospitalization Following Spine Surgery

(2020) Michael L. Martini et al.   JOURNAL OF BONE AND JOINT SURGERY-AMERICAN VOLUME

Pain phenotypes classified by machine learning using electroencephalography features

(2020) Joshua Levitt et al.   NEUROIMAGE

Feasibility and Assessment of a Machine Learning-Based Predictive Model of Outcome After Lumbar Decompression Surgery

(2020) Arthur André et al.   Global Spine Journal

Applied Machine Learning for Spine Surgeons: Predicting Outcome for Patients Undergoing Treatment for Lumbar Disc Herniation Using PRO Data

(2020) Casper Friis Pedersen et al.   Global Spine Journal

Development of prediction models for clinically meaningful improvement in PROMIS scores after lumbar decompression

(2020) Aditya V. Karhade et al.   Spine Journal

Predicting Postoperative Mortality After Metastatic Intraspinal Neoplasm Excision: Development of a Machine-Learning Approach

(2020) Kevin J. DiSilvestro et al.   World Neurosurgery

Tenodesis Grasp Detection in Egocentric Video

(2020) Mehdy Dousty et al.   IEEE Journal of Biomedical and Health Informatics

Artificial intelligence, bias and clinical safety

(2019) Robert Challen et al.   BMJ Quality & Safety

Machine Learning For The Prediction Of Cervical Spondylotic Myelopathy: A Post Hoc Pilot Study Of 28 Participants

(2019) Benjamin Hopkins et al.   World Neurosurgery

Random forest classifiers aid in the detection of incidental osteoblastic osseous metastases in DEXA studies

(2019) Samir D. Mehta et al.   International Journal of Computer Assisted Radiology and Surgery

Opportunistic osteoporosis screening in multi-detector CT images via local classification of textures

(2019) A. Valentinitsch et al.   OSTEOPOROSIS INTERNATIONAL

Discovery of potential biomarkers for osteoporosis using LC-MS/MS metabolomic methods

(2019) J. Wang et al.   OSTEOPOROSIS INTERNATIONAL

Mechanomyography-based muscle fatigue detection during electrically elicited cycling in patients with spinal cord injury

(2019) Jannatul Naeem et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Differentiation of spinal metastases originated from lung and other cancers using radiomics and deep learning based on DCE-MRI

(2019) Ning Lang et al.   MAGNETIC RESONANCE IMAGING

Fully automated radiological analysis of spinal disorders and deformities: a deep learning approach

(2019) Fabio Galbusera et al.   EUROPEAN SPINE JOURNAL

Computer-aided osteoporosis detection from DXA imaging

(2019) Dildar Hussain et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Qualitative versus quantitative lumbar spinal stenosis grading by machine learning supported texture analysis—Experience from the LSOS study cohort

(2019) Florian A. Huber et al.   EUROPEAN JOURNAL OF RADIOLOGY

A Region-Based Deep Level Set Formulation for Vertebral Bone Segmentation of Osteoporotic Fractures

(2019) Faisal Rehman et al.   JOURNAL OF DIGITAL IMAGING

Computer-Aided Detection of Incidental Lumbar Spine Fractures from Routine Dual-Energy X-Ray Absorptiometry (DEXA) Studies Using a Support Vector Machine (SVM) Classifier

(2019) Samir D. Mehta et al.   JOURNAL OF DIGITAL IMAGING

Nomograms for predicting the overall and cause-specific survival in patients with malignant peripheral nerve sheath tumor: a population-based study

(2019) Penghui Yan et al.   JOURNAL OF NEURO-ONCOLOGY

Machine learning for automated 3-dimensional segmentation of the spine and suggested placement of pedicle screws based on intraoperative cone-beam computer tomography

(2019) Gustav Burström et al.   JOURNAL OF NEUROSURGERY-SPINE

Big data and machine learning algorithms for health-care delivery

(2019) Kee Yuan Ngiam et al.   LANCET ONCOLOGY

Open-source pipeline for multi-class segmentation of the spinal cord with deep learning

(2019) François Paugam et al.   MAGNETIC RESONANCE IMAGING

Machine learning–based preoperative predictive analytics for lumbar spinal stenosis

(2019) Alessandro Siccoli et al.   Neurosurgical Focus

Prognosis of cervical myelopathy based on diffusion tensor imaging with artificial intelligence methods

(2019) Richu Jin et al.   NMR IN BIOMEDICINE

Development of a machine learning algorithm for prediction of failure of nonoperative management in spinal epidural abscess

(2019) Akash A. Shah et al.   Spine Journal

Extending pretrained segmentation networks with additional anatomical structures

(2019) Firat Ozdemir et al.   International Journal of Computer Assisted Radiology and Surgery

Simulating Dual-Energy X-Ray Absorptiometry in CT Using Deep-Learning Segmentation Cascade

(2019) Arun Krishnaraj et al.   Journal of the American College of Radiology

Deep learning to differentiate parkinsonian disorders separately using single midsagittal MR imaging: a proof of concept study

(2019) Shigeru Kiryu et al.   EUROPEAN RADIOLOGY

Direct automated quantitative measurement of spine by cascade amplifier regression network with manifold regularization

(2019) Shumao Pang et al.   MEDICAL IMAGE ANALYSIS

Using a machine learning approach to predict outcome after surgery for degenerative cervical myelopathy

(2019) Zamir G. Merali et al.   PLoS One

A machine learning approach for predictive models of adverse events following spine surgery

(2019) Summer S. Han et al.   Spine Journal

Combining convolutional neural networks and star convex cuts for fast whole spine vertebra segmentation in MRI

(2019) Marko Rak et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Artificial Intelligence Distinguishes Surgical Training Levels in a Virtual Reality Spinal Task

(2019) Vincent Bissonnette et al.   JOURNAL OF BONE AND JOINT SURGERY-AMERICAN VOLUME

Automated vertebrae localization and identification by decision forests and image-based refinement on real-world CT data

(2019) Ana Jimenez-Pastor et al.   Radiologia Medica

Identification of Vertebral Fractures by Convolutional Neural Networks to Predict Nonvertebral and Hip Fractures: A Registry-based Cohort Study of Dual X-ray Absorptiometry

(2019) Sheldon Derkatch et al.   RADIOLOGY

Preoperative Behavioral Health, Opioid, and Antidepressant Utilization and Two-Year Costs After Spinal Fusion—Revelations from Cluster Analysis

(2019) Jason Lerner et al.   SPINE

External Validation of the SORG 90-day and One-Year Machine Learning Algorithms for Survival in Spinal Metastatic Disease

(2019) Aditya V. Karhade et al.   Spine Journal

Machine learning–based prediction of radiographic progression in patients with axial spondyloarthritis

(2019) Young Bin Joo et al.   CLINICAL RHEUMATOLOGY

Nonconvulsive epileptic seizure monitoring with incremental learning

(2019) Yissel Rodríguez Aldana et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Defining criteria for optimal lumbar curve correction following the selective thoracic fusion surgery in Lenke 1 adolescent idiopathic scoliosis: developing a decision tree

(2019) Saba Pasha et al.   European Journal of Orthopaedic Surgery and Traumatology

Vertebral rotation estimation from frontal X-rays using a quasi-automated pedicle detection method

(2019) Shahin Ebrahimi et al.   EUROPEAN SPINE JOURNAL

Exploration of Cervical Myelopathy Location From Somatosensory Evoked Potentials Using Random Forests Classification

(2019) Hongyan Cui et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

The exploration of feature extraction and machine learning for predicting bone density from simple spine X-ray images in a Korean population

(2019) Sangwoo Lee et al.   SKELETAL RADIOLOGY

Can a machine learning model accurately predict patient resource utilization following lumbar spinal fusion?

(2019) Jaret M. Karnuta et al.   Spine Journal

Neurophysiological markers predicting recovery of standing in humans with chronic motor complete spinal cord injury

(2019) Samineh Mesbah et al.   Scientific Reports

Artificial Intelligence in Lung Cancer Pathology Image Analysis

(2019) Shidan Wang et al.   Cancers

Accurate automated Cobb angles estimation using multi-view extrapolation net

(2019) Liansheng Wang et al.   MEDICAL IMAGE ANALYSIS

A Deep Convolutional Neural Network with Performance Comparable to Radiologists for Differentiating Between Spinal Schwannoma and Meningioma

(2019) Satoshi Maki et al.   SPINE

Natural language processing for automated detection of incidental durotomy

(2019) Aditya V. Karhade et al.   Spine Journal

Artificial Neural Networks to Assess Virtual Reality Anterior Cervical Discectomy Performance

(2019) Nykan Mirchi et al.   Operative Neurosurgery

An incremental learning system for atrial fibrillation detection based on transfer learning and active learning

(2019) Haotian Shi et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Comparison of Natural Language Processing Rules-based and Machine-learning Systems to Identify Lumbar Spine Imaging Findings Related to Low Back Pain

(2018) W. Katherine Tan et al.   ACADEMIC RADIOLOGY

Data-driven models of dominantly-inherited Alzheimer’s disease progression

(2018) Neil P Oxtoby et al.   BRAIN

Self-learning computers for surgical planning and prediction of postoperative alignment

(2018) Renaud Lafage et al.   EUROPEAN SPINE JOURNAL

Automatic Localization of the Needle Target for Ultrasound-Guided Epidural Injections

(2018) Mehran Pesteie et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Joint Vertebrae Identification and Localization in Spinal CT Images by Combining Short- and Long-Range Contextual Information

(2018) Haofu Liao et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Evaluation of three machine learning models for self-referral decision support on low back pain in primary care

(2018) Wendy Oude Nijeweme-d’Hollosy et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Classification of Diffusion Tensor Metrics for the Diagnosis of a Myelopathic Cord Using Machine Learning

(2018) Shuqiang Wang et al.   International Journal of Neural Systems

Dynamic ensemble selection of learner-descriptor classifiers to assess curve types in adolescent idiopathic scoliosis

(2018) Edgar García-Cano et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images

(2018) Xiaomeng Li et al.   MEDICAL IMAGE ANALYSIS

Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning

(2018) Zhongyi Han et al.   NEUROINFORMATICS

Implementing Machine Learning in Health Care — Addressing Ethical Challenges

(2018) Danton S. Char et al.   NEW ENGLAND JOURNAL OF MEDICINE

Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs

(2018) David B. Larson et al.   RADIOLOGY

Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study

(2018) Koichiro Yasaka et al.   RADIOLOGY

Detecting intertrochanteric hip fractures with orthopedist-level accuracy using a deep convolutional neural network

(2018) Takaaki Urakawa et al.   SKELETAL RADIOLOGY

Examining the Ability of Artificial Neural Networks Machine Learning Models to Accurately Predict Complications Following Posterior Lumbar Spine Fusion

(2018) Jun S. Kim et al.   SPINE

A deep learning framework for segmentation and pose estimation of pedicle screw implants based on C-arm fluoroscopy

(2018) Hooman Esfandiari et al.   International Journal of Computer Assisted Radiology and Surgery

Deep learning in biomedicine

(2018) Michael Wainberg et al.   NATURE BIOTECHNOLOGY

The promise and peril of universal health care

(2018) David E. Bloom et al.   SCIENCE

Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis

(2018) Kiwook Kim et al.   Scientific Reports

The role of artificial intelligence in orthopaedic surgery

(2018) Jaykar R Panchmatia et al.   BRITISH JOURNAL OF HOSPITAL MEDICINE

Prediction of spinal curve progression in Adolescent Idiopathic Scoliosis using Random Forest regression

(2018) Edgar García-Cano et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features

(2018) Ping Yin et al.   EUROPEAN RADIOLOGY

Automatic Lumbar MRI Detection and Identification Based on Deep Learning

(2018) Yujing Zhou et al.   JOURNAL OF DIGITAL IMAGING

A Triple-Classification Radiomics Model for the Differentiation of Primary Chordoma, Giant Cell Tumor, and Metastatic Tumor of Sacrum Based on T2-Weighted and Contrast-Enhanced T1-Weighted MRI

(2018) Ping Yin et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Artificial intelligence-enabled healthcare delivery

(2018) Sandeep Reddy et al.   JOURNAL OF THE ROYAL SOCIETY OF MEDICINE

High-performance medicine: the convergence of human and artificial intelligence

(2018) Eric J. Topol   NATURE MEDICINE

Assessing the effects of long-term osteoporosis treatment by using conventional spine radiographs: results from a pilot study in a sub-cohort of a large randomized controlled trial

(2018) Hans Peter Dimai et al.   SKELETAL RADIOLOGY

Deep learning-based preoperative predictive analytics for patient-reported outcomes following lumbar diskectomy: feasibility of center-specific modeling

(2018) Victor E. Staartjes et al.   Spine Journal

Can low-frequency guided waves at the tibia paired with machine learning differentiate between healthy and osteopenic/osteoporotic subjects? A pilot study

(2018) Florian Vogl et al.   ULTRASONICS

New Predictive Index for Survival in Symptomatic Spinal Metastases

(2018) Daniel Wei et al.   World Neurosurgery

Deep learning and artificial intelligence in radiology: Current applications and future directions

(2018) Koichiro Yasaka et al.   PLOS MEDICINE

3-D Morphology Prediction of Progressive Spinal Deformities From Probabilistic Modeling of Discriminant Manifolds

(2017) Samuel Kadoury et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Points of Significance: Classification and regression trees

(2017) Martin Krzywinski et al.   NATURE METHODS

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Role of Soft Computing Approaches in HealthCare Domain: A Mini Review

(2016) Shalini Gambhir et al.   JOURNAL OF MEDICAL SYSTEMS

Predicting the Future — Big Data, Machine Learning, and Clinical Medicine

(2016) Ziad Obermeyer et al.   NEW ENGLAND JOURNAL OF MEDICINE

Appropriateness of Lumbar Spine Referrals to a Neurosurgical Service

(2016) J. Max Findlay et al.   CANADIAN JOURNAL OF NEUROLOGICAL SCIENCES

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Texture analysis of mandibular cortical bone on digital dental panoramic radiographs for the diagnosis of osteoporosis in Korean women

(2015) Muthu Subash Kavitha et al.   Oral Surgery Oral Medicine Oral Pathology Oral Radiology

Osteoporosis Risk Prediction for Bone Mineral Density Assessment of Postmenopausal Women Using Machine Learning

(2013) Tae Keun Yoo et al.   YONSEI MEDICAL JOURNAL

Diagnosis of osteoporosis from dental panoramic radiographs using the support vector machine method in a computer-aided system

(2012) M S Kavitha et al.   BMC MEDICAL IMAGING

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING