☆ 4.6 Article

Development and validation of a risk prediction model for cage subsidence after instrumented posterior lumbar fusion based on machine learning: a retrospective observational cohort study

FRONTIERS IN MEDICINE (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Clinical Neurology

Titanium Cervical Cage Subsidence: Postoperative Computed Tomography Analysis Defining Incidence and Associated Risk Factors

Zachariah W. Pinter et al.

Summary: By conducting a retrospective cohort study, researchers precisely characterized the patterns of cervical cage subsidence and identified several risk factors. The study results indicate that subsidence is a common occurrence following ACDF surgery with titanium cervical cages and is not associated with an increased risk of pseudarthrosis.

GLOBAL SPINE JOURNAL (2023)

添加到收藏夹

Article Clinical Neurology

The predictive value of psoas and paraspinal muscle parameters measured on MRI for severe cage subsidence after standalone lateral lumbar interbody fusion

Manuel Moser et al.

Summary: This study aimed to determine whether the functional cross-sectional area (FCSA) of psoas and lumbar spine extensor muscles differs in levels with severe cage subsidence after SA-LLIF. The study found that higher psoas FCSA at L3 and psoas FCSA/VBA at L3 and L4 were independent risk factors for severe cage subsidence in men.

SPINE JOURNAL (2023)

添加到收藏夹

Article Environmental Sciences

Modeling the susceptibility of an uneven-aged broad-leaved forest to snowstorm damage using spatially explicit machine learning

Saeid Shabani et al.

Summary: This study modeled and spatially visualized the susceptibility of a forest stand in northern Iran to snowstorm damage using the random forest (RF) and logistic regression (LR) methods. The RF model outperformed the LR model in both training and validation phases, identifying slope, aspect, and wind effect as the variables with the greatest impacts on forest stand sustainability to snowstorm damage. Approximately 30% of the study area was categorized as highly and very highly susceptible to snowstorms. The results can inform forest managers in developing adaptive forest management plans for snowstorm readiness and recovery.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2023)

添加到收藏夹

Article Obstetrics & Gynecology

Antenatal prediction models for outcomes of extremely and very preterm infants based on machine learning

Takafumi Ushida et al.

Summary: The study aims to investigate the application of machine learning in predicting adverse outcomes in preterm infants. The results show that machine learning models can predict infant outcomes better than conventional models and identify key factors associated with these outcomes.

ARCHIVES OF GYNECOLOGY AND OBSTETRICS (2023)

添加到收藏夹

Article Clinical Neurology

Risk Factors for Subsidence Following Anterior Lumbar Interbody Fusion

Athan G. Zavras et al.

Summary: This study aimed to identify patient and procedural risk factors for subsidence in patients undergoing anterior lumbar interbody fusion (ALIF). The results showed that age, BMI, ASA, and osteoporosis were all associated with subsidence. Anterior cage placement remained the only independent predictor. Subsidence was also associated with a higher rate of subsequent adjacent segment surgery.

GLOBAL SPINE JOURNAL (2022)

添加到收藏夹

Article Clinical Neurology

Novel MRI-based vertebral bone quality score as a predictor of cage subsidence following transforaminal lumbar interbody fusion

Yung-Hsueh Hu et al.

Summary: The ability of MRI-based VBQ score to predict cage subsidence and other risk factors associated with this complication was investigated. The results showed that increased VBQ scores, posteriorly placed cages, and kidney-shaped cages were risk factors for cage subsidence. The VBQ score was a good predictor of cage subsidence and moderately correlated with DEXA T-scores and the amount of cage subsidence.

JOURNAL OF NEUROSURGERY-SPINE (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Multivariate Uncertainty in Deep Learning

Rebecca L. Russell et al.

Summary: Deep learning has the potential to greatly impact navigation and tracking state estimation problems critical to autonomous vehicles and robotics. Accurate quantification of multivariate uncertainty is crucial for the safe and reliable use of deep learning models in these applications.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)

添加到收藏夹

Article Clinical Neurology

Machine learning approach for hemorrhagic transformation prediction: Capturing predictors' interaction

Ahmed F. Elsaid et al.

Summary: This study aimed to predict hemorrhagic transformation (HT) in patients with ischemic stroke using machine learning algorithms. Cerebral microbleeds, NIHSS, and infarction size were identified as the best predictors of HT. The random forest classifier (RFC) and gradient boosting classifier (GBC) demonstrated superior performance in predicting HT.

FRONTIERS IN NEUROLOGY (2022)

添加到收藏夹

Article Clinical Neurology

Vertebral bone quality score independently predicts cage subsidence following transforaminal lumbar interbody fusion

Mohamed A. R. Soliman et al.

Summary: This study investigated whether the magnetic resonance imaging (MRI)-based vertebral bone quality (VBQ) score can predict the occurrence of postoperative cage subsidence following transforaminal lumbar interbody fusion (TLIF) surgery. The results showed that a higher VBQ score was significantly associated with an increased risk of subsidence and was the only significant independent predictor of subsidence after TLIF. This suggests that the MRI-VBQ score may be a valuable tool for identifying patients at risk of cage subsidence following TLIF.

SPINE JOURNAL (2022)

添加到收藏夹

Article Clinical Neurology

The predictive value of a novel site-specific MRI-based bone quality assessment, endplate bone quality (EBQ), for severe cage subsidence among patients undergoing standalone lateral lumbar interbody fusion

Conor Jones et al.

Summary: The study investigated the predictive value of a novel MRI-based bone assessment for severe cage subsidence after lumbar interbody fusion. The results showed that site-specific MRI bone assessment was more effective in predicting complications than standard whole-region measurements. This assessment method could provide valuable insights into a patient's risk for severe subsidence.

SPINE JOURNAL (2022)

添加到收藏夹

Article Chemistry, Analytical

RLC Circuit Forecast in Analog IC Packaging and Testing by Machine Learning Techniques

Jung-Pin Lai et al.

Summary: This study aims to improve operations in the analog IC packaging and testing industry by employing machine learning techniques. The ML model, LSSVR-GA, outperforms other forecasting models in predicting RLC values. The proposed method generates accurate results and is effective for RLC circuit forecasting.

MICROMACHINES (2022)

添加到收藏夹

Article Orthopedics

Forearm T-score as a predictor of cage subsidence in patients with degenerative lumbar spine disease following posterior single-segment lumbar interbody fusion

Hong-yu Pu et al.

Summary: The study aimed to compare the accuracy of forearm T-score and lumbar spine HU values in predicting cage subsidence after PLIF, and found that lower forearm T-scores and lower lumbar spine HU values were significantly associated with the occurrence of cage subsidence. Forearm T-score was more accurate in predicting cage subsidence than lumbar spine HU values, and forearm dual-energy X-ray absorptiometry may be a fast, simple, and reliable method for predicting cage subsidence following PLIF.

BMC MUSCULOSKELETAL DISORDERS (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Hierarchical Neighbors Embedding

Shenglan Liu et al.

Summary: This article introduces a hierarchical neighbors embedding (HNE) method, which improves the performance of manifold learning in dealing with data sparsity by enhancing local connections. The experimental results demonstrate that the HNE-based methods can achieve better embeddings with improved topological and geometrical properties. HNE shows its superiority in handling data of general distributions and sparsely sampled data.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)

添加到收藏夹

Article Clinical Neurology

Expandable cages increase the risk of intraoperative subsidence but do not improve perioperative outcomes in single level transforaminal lumbar interbody fusion

Carolyn Stickley et al.

Summary: This study investigated the clinical outcomes of expandable cages in single level TLIF and found that there was no significant improvement in neurological and radiographic outcomes compared to nonexpandable cages. The use of expandable cages was associated with an increased risk of intraoperative subsidence.

SPINE JOURNAL (2021)

添加到收藏夹

Article Pediatrics

Automatic Facial Recognition of Williams-Beuren Syndrome Based on Deep Convolutional Neural Networks

Hui Liu et al.

Summary: This study aimed to construct an automatic facial recognition model for WBS diagnosis based on deep CNNs, utilizing image transfer learning to avoid over-fitting. The classification performance of the facial recognition models was evaluated through five-fold cross validation and comparison with human experts, highlighting the potential of deep CNNs in diagnosing WBS in clinical practice.

FRONTIERS IN PEDIATRICS (2021)

添加到收藏夹

Article Multidisciplinary Sciences

Highly accurate protein structure prediction with AlphaFold

John Jumper et al.

Summary: Proteins are essential for life, and accurate prediction of their structures is a crucial research problem. Current experimental methods are time-consuming, highlighting the need for accurate computational approaches to address the gap in structural coverage. Despite recent progress, existing methods fall short of atomic accuracy in protein structure prediction.

NATURE (2021)

添加到收藏夹

Article Mathematical & Computational Biology

Robust face recognition based on multi-task convolutional neural network

Huilin Ge et al.

Summary: The proposed face detection and recognition algorithm based on MTCNN shows better performance in metrics such as PSNR, SSIM, and ROC curve compared to R-CNN and Faster R-CNN, with higher accuracy and efficiency in face recognition.

MATHEMATICAL BIOSCIENCES AND ENGINEERING (2021)

添加到收藏夹

Review Endocrinology & Metabolism

Establishment and Validation of a Risk Prediction Model for Early Diabetic Kidney Disease Based on a Systematic Review and Meta-Analysis of 20 Cohorts

Wenhui Jiang et al.

DIABETES CARE (2020)

添加到收藏夹

Article Oncology

Factors Affecting Sentinel Node Metastasis in Thin (T1) Cutaneous Melanomas: Development and External Validation of a Predictive Nomogram

Andrea Maurichi et al.

JOURNAL OF CLINICAL ONCOLOGY (2020)

添加到收藏夹

Article Clinical Neurology

Lumbar disc height and vertebral Hounsfield units: association with interbody cage subsidence

Alfred J. Pisano et al.

NEUROSURGICAL FOCUS (2020)

添加到收藏夹

Editorial Material Multidisciplinary Sciences

The science of deep learning

Richard Baraniuk et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2020)

添加到收藏夹

Review Clinical Neurology

Polyetheretherketone Versus Titanium Cages for Posterior Lumbar Interbody Fusion: Meta-Analysis and Review of the Literature

Elie Massaad et al.

NEUROSPINE (2020)

添加到收藏夹

Article Endocrinology & Metabolism

Prediction of early metastatic disease in experimental breast cancer bone metastasis by combining PET/CT and MRI parameters to a Model-Averaged Neural Network

Stephan Ellmann et al.

BONE (2019)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Comparison of machine learning algorithms for clinical event prediction (risk of coronary heart disease)

Juan-Jose Beunza et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2019)

添加到收藏夹

Article Multidisciplinary Sciences

A clinically applicable approach to continuous prediction of future acute kidney injury

Nenad Tomasev et al.

NATURE (2019)

添加到收藏夹

Article Multidisciplinary Sciences

A metabolic profile of all-cause mortality risk identified in an observational study of 44,168 individuals

Joris Deelen et al.

NATURE COMMUNICATIONS (2019)

添加到收藏夹

Article Biochemistry & Molecular Biology

A guide to deep learning in healthcare

Andre Esteva et al.

NATURE MEDICINE (2019)

添加到收藏夹

Article Biochemistry & Molecular Biology

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

Awni Y. Hannun et al.

NATURE MEDICINE (2019)

添加到收藏夹

Review Biochemistry & Molecular Biology

Privacy in the age of medical big data

W. Nicholson Price et al.

NATURE MEDICINE (2019)

添加到收藏夹

Review Biochemistry & Molecular Biology

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

Eric J. Topol

NATURE MEDICINE (2019)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Biomechanical analysis of lumbar interbody fusion cages with various lordotic angles: a finite element study

Zhenjun Zhang et al.

COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING (2018)

添加到收藏夹

Article Engineering, Electrical & Electronic

From AlphaGo to Power System AI

Fangxing Li et al.

IEEE POWER & ENERGY MAGAZINE (2018)

添加到收藏夹

Article Clinical Neurology

Graft subsidence as a predictor of revision surgery following stand-alone lateral lumbar interbody fusion

Zachary J. Tempel et al.

JOURNAL OF NEUROSURGERY-SPINE (2018)

添加到收藏夹

Article Oncology

Development and validation of a gene expression-based signature to predict distant metastasis in locoregionally advanced nasopharyngeal carcinoma: a retrospective, multicentre, cohort study

Xin-Ran Tang et al.

LANCET ONCOLOGY (2018)

添加到收藏夹

Article Orthopedics

Incidence and impact of implant subsidence after stand-alone lateral lumbar interbody fusion

N. Bocahut et al.

ORTHOPAEDICS & TRAUMATOLOGY-SURGERY & RESEARCH (2018)

添加到收藏夹

Review Cardiac & Cardiovascular Systems

Artificial Intelligence in Precision Cardiovascular Medicine

Chayakrit Krittanawong et al.

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2017)

添加到收藏夹

Article Clinical Neurology

Cervical spine alignment following lumbar pedicle subtraction osteotomy for sagittal imbalance

Ibrahim Obeid et al.

EUROPEAN SPINE JOURNAL (2015)

添加到收藏夹

Article Medicine, General & Internal

STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies

Patrick M. Bossuyt et al.

BMJ-BRITISH MEDICAL JOURNAL (2015)

添加到收藏夹

Article Medicine, General & Internal

STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies

Patrick M. Bossuyt et al.

BMJ-BRITISH MEDICAL JOURNAL (2015)

添加到收藏夹

Article Orthopedics

Risk factors for subsidence in anterior cervical fusion with stand-alone polyetheretherketone (PEEK) cages: a review of 82 cases and 182 levels

Ting-Hsien Kao et al.

ARCHIVES OF ORTHOPAEDIC AND TRAUMA SURGERY (2014)

添加到收藏夹

Article Clinical Neurology

Retroperitoneal oblique corridor to the L2-S1 intervertebral discs in the lateral position: an anatomic study

Timothy T. Davis et al.

JOURNAL OF NEUROSURGERY-SPINE (2014)

添加到收藏夹

Article Clinical Neurology

Subsidence of Polyetheretherketone Intervertebral Cages in Minimally Invasive Lateral Retroperitoneal Transpsoas Lumbar Interbody Fusion

Tien V. Le et al.

SPINE (2012)

添加到收藏夹

Article Biochemical Research Methods

pROC: an open-source package for R and S plus to analyze and compare ROC curves

Xavier Robin et al.

BMC BIOINFORMATICS (2011)

添加到收藏夹

Article Orthopedics

Subsidence and Nonunion after Anterior Cervical Interbody Fusion Using a Stand-Alone Polyetheretherketone (PEEK) Cage

Jae Jun Yang et al.

CLINICS IN ORTHOPEDIC SURGERY (2011)

添加到收藏夹

Article Clinical Neurology

Transforaminal lumbar interbody fusion - Clinical and radiographic results and complications in 100 consecutive patients

BK Potter et al.

JOURNAL OF SPINAL DISORDERS & TECHNIQUES (2005)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Stochastic gradient boosting

JH Friedman

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2002)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.