Machine learning applications to clinical decision support in neurosurgery: an artificial intelligence augmented systematic review

PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies

(2019) Robert F. Wolff et al.   ANNALS OF INTERNAL MEDICINE

Healthcare-associated ventriculitis and meningitis in a neuro-ICU: Incidence and risk factors selected by machine learning approach

(2018) Ivan Savin et al.   JOURNAL OF CRITICAL CARE

Convolutional neural networks: Ensemble modeling, fine-tuning and unsupervised semantic localization for neurosurgical CLE images

(2018) Mohammadhassan Izadyyazdanabadi et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Machine-Learning Models: The Future of Predictive Analytics in Neurosurgery

(2018) G Damian Brusko et al.   NEUROSURGERY

Optimization Methods for Large-Scale Machine Learning

(2018) Léon Bottou et al.   SIAM REVIEW

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

Machine Learning and Neurosurgical Outcome Prediction: A Systematic Review

(2018) Joeky T. Senders et al.   World Neurosurgery

Predictive Value of Intraoperative Facial Motor Evoked Potentials in Vestibular Schwannoma Surgery Under 2 Anesthesia Protocols

(2018) Miao Ling et al.   World Neurosurgery

Development and Validation of a Prediction Model for Pain and Functional Outcomes After Lumbar Spine Surgery

(2018) Sara Khor et al.   JAMA Surgery

The impact of epilepsy surgery on the structural connectome and its relation to outcome

(2018) Peter N. Taylor et al.   NeuroImage-Clinical

Risk stratification in deep brain stimulation surgery: Development of an algorithm to predict patient discharge disposition with 91.9% accuracy

(2018) Quinlan D. Buchlak et al.   JOURNAL OF CLINICAL NEUROSCIENCE

Development of Machine Learning Algorithms for Prediction of 5-Year Spinal Chordoma Survival

(2018) Aditya V. Karhade et al.   World Neurosurgery

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

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

Analysis of healthcare service utilization after transport-related injuries by a mixture of hidden Markov models

(2018) Nazanin Esmaili et al.   PLoS One

Classification and Prediction of Clinical Improvement in Deep Brain Stimulation From Intraoperative Microelectrode Recordings

(2017) Kyriaki Kostoglou et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

The Seattle spine score: Predicting 30-day complication risk in adult spinal deformity surgery

(2017) Quinlan D. Buchlak et al.   JOURNAL OF CLINICAL NEUROSCIENCE

Development of a preoperative predictive model for major complications following adult spinal deformity surgery

(2017) Justin K. Scheer et al.   JOURNAL OF NEUROSURGERY-SPINE

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

The Changing Face of Technologically Integrated Neurosurgery: Today's High-Tech Operating Room

(2017) Antonio Bernardo   World Neurosurgery

A Survey of Predictive Modeling on Imbalanced Domains

(2016) Paula Branco et al.   ACM COMPUTING SURVEYS

Predicting ventriculoperitoneal shunt infection in children with hydrocephalus using artificial neural network

(2016) Zohreh Habibi et al.   CHILDS NERVOUS SYSTEM

Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

(2016) Hayit Greenspan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

An Intelligent Decision System for Intraoperative Somatosensory Evoked Potential Monitoring

(2016) Bi Fan et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Probabilistic machine learning for the evaluation of presurgical language dominance

(2016) Tomer Gazit et al.   JOURNAL OF NEUROSURGERY

Stop! border ahead: Automatic detection of subthalamic exit during deep brain stimulation surgery

(2016) Dan Valsky et al.   MOVEMENT DISORDERS

Imaging Surrogates of Infiltration Obtained Via Multiparametric Imaging Pattern Analysis Predict Subsequent Location of Recurrence of Glioblastoma

(2016) Hamed Akbari et al.   NEUROSURGERY

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

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

Using a Machine Learning Approach to Predict Outcomes after Radiosurgery for Cerebral Arteriovenous Malformations

(2016) Eric Karl Oermann et al.   Scientific Reports

Predictive Factors Determining the Overall Outcome of Primary Spinal Glioblastoma Multiforme: An Integrative Survival Analysis

(2016) Subhas K. Konar et al.   World Neurosurgery

Prospective Assessment of a Symptomatic Cerebral Vasospasm Predictive Neural Network Model

(2016) Travis M. Dumont   World Neurosurgery

Outcomes and Complications After Endovascular Treatment of Brain Arteriovenous Malformations: A Prognostication Attempt Using Artificial Intelligence

(2016) Hamed Asadi et al.   World Neurosurgery

Magnetic resonance imaging pattern learning in temporal lobe epilepsy: Classification and prognostics

(2015) Boris C. Bernhardt et al.   ANNALS OF NEUROLOGY

Machine Learning Approach to Optimizing Combined Stimulation and Medication Therapies for Parkinson's Disease

(2015) Reuben R. Shamir et al.   Brain Stimulation

Multimodal data and machine learning for surgery outcome prediction in complicated cases of mesial temporal lobe epilepsy

(2015) Negar Memarian et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Use of multivariate linear regression and support vector regression to predict functional outcome after surgery for cervical spondylotic myelopathy

(2015) Haydn Hoffman et al.   JOURNAL OF CLINICAL NEUROSCIENCE

Analysing differences between algorithm configurations through ablation

(2015) Chris Fawcett et al.   JOURNAL OF HEURISTICS

Probabilistic machine learning and artificial intelligence

(2015) Zoubin Ghahramani   NATURE

Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques

(2015) Luke Macyszyn et al.   NEURO-ONCOLOGY

Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data

(2015) Brent C. Munsell et al.   NEUROIMAGE

A Generic Support Vector Machine Model for Preoperative Glioma Survival Associations

(2015) Kyrre E. Emblem et al.   RADIOLOGY

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Detection of human brain tumor infiltration with quantitative stimulated Raman scattering microscopy

(2015) Minbiao Ji et al.   Science Translational Medicine

Intraoperative brain cancer detection with Raman spectroscopy in humans

(2015) Michael Jermyn et al.   Science Translational Medicine

Craniotomy for Glioma Resection: A Predictive Model

(2015) Symeon Missios et al.   World Neurosurgery

Advanced [18F]FDG and [11C]flumazenil PET analysis for individual outcome prediction after temporal lobe epilepsy surgery for hippocampal sclerosis

(2015) J. Yankam Njiwa et al.   NeuroImage-Clinical

Automated Glioblastoma Segmentation Based on a Multiparametric Structured Unsupervised Classification

(2015) Javier Juan-Albarracín et al.   PLoS One

Statistical model based 3D shape prediction of postoperative trunks for non-invasive scoliosis surgery planning

(2014) K.C. Assi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Predicting endoscopic third ventriculostomy success in childhood hydrocephalus: an artificial neural network analysis

(2014) Parisa Azimi et al.   Journal of Neurosurgery-Pediatrics

Use of artificial neural networks to predict surgical satisfaction in patients with lumbar spinal canal stenosis

(2014) Parisa Azimi et al.   JOURNAL OF NEUROSURGERY-SPINE

Pattern Analysis of Dynamic Susceptibility Contrast-enhanced MR Imaging Demonstrates Peritumoral Tissue Heterogeneity

(2014) Hamed Akbari et al.   RADIOLOGY

Beam orientation in stereotactic radiosurgery using an artificial neural network

(2014) Agnieszka Skrobala et al.   RADIOTHERAPY AND ONCOLOGY

Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement

(2013) David Moher   ANNALS OF INTERNAL MEDICINE

Machine learning in preoperative glioma MRI: Survival associations by perfusion-based support vector machine outperforms traditional MRI

(2013) Kyrre E. Emblem et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

In-hospital mortality after traumatic brain injury surgery: a nationwide population-based comparison of mortality predictors used in artificial neural network and logistic regression models

(2013) Hon-Yi Shi et al.   JOURNAL OF NEUROSURGERY

Predicting Survival in Patients With Brain Metastases Treated With Radiosurgery Using Artificial Neural Networks

(2013) Eric K. Oermann et al.   NEUROSURGERY

A Novel Data-Driven Approach to Preoperative Mapping of Functional Cortex Using Resting-State Functional Magnetic Resonance Imaging

(2013) Timothy J. Mitchell et al.   NEUROSURGERY

Machine Learning Approach for the Outcome Prediction of Temporal Lobe Epilepsy Surgery

(2013) Rubén Armañanzas et al.   PLoS One

Predicting C5 palsy via the use of preoperative anatomic measurements

(2013) Daniel Lubelski et al.   Spine Journal

A predictive model of complications after spine surgery: the National Surgical Quality Improvement Program (NSQIP) 2005–2010

(2013) Kimon Bekelis et al.   Spine Journal

3D CBIR with sparse coding for image-guided neurosurgery

(2012) Yu Qian et al.   SIGNAL PROCESSING

Prediction of Symptomatic Cerebral Vasospasm after Aneurysmal Subarachnoid Hemorrhage with an Artificial Neural Network: Feasibility and Comparison with Logistic Regression Models

(2011) Travis M. Dumont et al.   World Neurosurgery

Hidden Semi-Markov Models in the Computerized Decoding of Microelectrode Recording Data for Deep Brain Stimulator Placement

(2011) Alexander Taghva   World Neurosurgery

An Automated Navigation System for Deep Brain Stimulator Placement Using Hidden Markov Models

(2010) Alexander Taghva   Operative Neurosurgery

Extent of publication bias in different categories of research cohorts: a meta-analysis of empirical studies

(2009) Fujian Song et al.   BMC Medical Research Methodology

Functional localization and visualization of the subthalamic nucleus from microelectrode recordings acquired during DBS surgery with unsupervised machine learning

(2009) S Wong et al.   Journal of Neural Engineering

Delimiting subterritories of the human subthalamic nucleus by means of microelectrode recordings and a Hidden Markov Model

(2009) Adam Zaidel et al.   MOVEMENT DISORDERS

Chronic subdural hematoma outcome prediction using logistic regression and an artificial neural network

(2009) Mehdi Abouzari et al.   NEUROSURGICAL REVIEW

Fuzzy Logic in neurosurgery: predicting poor outcomes after lumbar disk surgery in 501 consecutive patients

(2009) Muhammad Shahzad Shamim et al.   SURGICAL NEUROLOGY

No consensus exists on search reporting methods for systematic reviews

(2008) Margaret Sampson et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY