Machine Learning in Action: Stroke Diagnosis and Outcome Prediction
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Machine Learning in Action: Stroke Diagnosis and Outcome Prediction
Authors
Keywords
-
Journal
Frontiers in Neurology
Volume 12, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2021-12-06
DOI
10.3389/fneur.2021.734345
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Evaluation of Artificial Intelligence–Powered Identification of Large-Vessel Occlusions in a Comprehensive Stroke Center
- (2021) A. Yahav-Dovrat et al. AMERICAN JOURNAL OF NEURORADIOLOGY
- Prediction of Long-term Cognitive Functions after Minor Stroke, Using Functional Connectivity
- (2021) Renaud Lopes et al. NEUROLOGY
- Outcome prediction in aneurysmal subarachnoid hemorrhage: a comparison of machine learning methods and established clinico-radiological scores
- (2021) Nora Franziska Dengler et al. NEUROSURGICAL REVIEW
- Imaging-Based Outcome Prediction of Acute Intracerebral Hemorrhage
- (2021) Jawed Nawabi et al. Translational Stroke Research
- Intense Arm Rehabilitation Therapy Improves the Modified Rankin Scale Score
- (2021) Steven C. Cramer et al. NEUROLOGY
- Assessing stroke severity using electronic health record data: a machine learning approach
- (2020) Emily Kogan et al. BMC Medical Informatics and Decision Making
- Improved multi-parametric prediction of tissue outcome in acute ischemic stroke patients using spatial features
- (2020) Malte Grosser et al. PLoS One
- Machine Learning Approach to Identify Stroke Within 4.5 Hours
- (2020) Hyunna Lee et al. STROKE
- Using machine learning to predict stroke‐associated pneumonia in Chinese acute ischaemic stroke patients
- (2020) X. Li et al. EUROPEAN JOURNAL OF NEUROLOGY
- Stroke Prognostic Scores and Data-Driven Prediction of Clinical Outcomes After Acute Ischemic Stroke
- (2020) Koutarou Matsumoto et al. STROKE
- Editorial: Machine Learning and Decision Support in Stroke
- (2020) David S. Liebeskind et al. Frontiers in Neurology
- Automatic Grading of Stroke Symptoms for Rapid Assessment Using Optimized Machine Learning and Four-Limb Kinematics: Clinical Feasibility Study (Preprint)
- (2020) Eunjeong Park et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Quantitative Serial CT Imaging-Derived Features Improve Prediction of Malignant Cerebral Edema after Ischemic Stroke
- (2020) Hossein Mohammadian Foroushani et al. Neurocritical Care
- Multimodal Predictive Modeling of Endovascular Treatment Outcome for Acute Ischemic Stroke Using Machine-Learning
- (2020) Gianluca Brugnara et al. STROKE
- EMR-Based Phenotyping of Ischemic Stroke Using Supervised Machine Learning and Text Mining Techniques
- (2020) Sheng-Feng Sung et al. IEEE Journal of Biomedical and Health Informatics
- Reliability and Clinical Utility of Machine Learning to Predict Stroke Prognosis: Comparison with Logistic Regression
- (2020) Su-Kyeong Jang et al. Journal of Stroke
- Development and Validation of Machine Learning-Based Prediction for Dependence in the Activities of Daily Living after Stroke Inpatient Rehabilitation: A Decision-Tree Analysis
- (2020) Yuji Iwamoto et al. Journal of Stroke & Cerebrovascular Diseases
- Machine learning to predict mortality after rehabilitation among patients with severe stroke
- (2020) Domenico Scrutinio et al. Scientific Reports
- Characterization of clot composition in acute cerebral infarct using machine learning techniques
- (2019) Jong-Won Chung et al. Annals of Clinical and Translational Neurology
- Machine Learning–Based Model for Prediction of Outcomes in Acute Stroke
- (2019) JoonNyung Heo et al. STROKE
- Global, regional, and national burden of neurological disorders, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
- (2019) Valery L Feigin et al. LANCET NEUROLOGY
- Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network
- (2019) Hai Ye et al. EUROPEAN RADIOLOGY
- Machine Learning Analysis of Matricellular Proteins and Clinical Variables for Early Prediction of Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage
- (2019) Satoru Tanioka et al. MOLECULAR NEUROBIOLOGY
- Prediction of hematoma expansion in spontaneous intracerebral hemorrhage using support vector machine
- (2019) Jinjin Liu et al. EBioMedicine
- A Machine Learning Approach for Classifying Ischemic Stroke Onset Time From Imaging
- (2019) King Chung Ho et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Automatic Machine-Learning-Based Outcome Prediction in Patients With Primary Intracerebral Hemorrhage
- (2019) Hsueh-Lin Wang et al. Frontiers in Neurology
- Artificial intelligence to diagnose ischemic stroke and identify large vessel occlusions: a systematic review
- (2019) Nick M Murray et al. Journal of NeuroInterventional Surgery
- Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke
- (2019) A. Hilbert et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Predicting post-stroke pneumonia using deep neural network approaches
- (2019) Yanqiu Ge et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Guidelines for the Early Management of Patients With Acute Ischemic Stroke: 2019 Update to the 2018 Guidelines for the Early Management of Acute Ischemic Stroke: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association
- (2019) William J. Powers et al. STROKE
- Deep Learning for Automated Measurement of Hemorrhage and Perihematomal Edema in Supratentorial Intracerebral Hemorrhage
- (2019) Rajat Dhar et al. STROKE
- Using Machine Learning to Improve the Prediction of Functional Outcome in Ischemic Stroke Patients
- (2018) Miguel Aires Barros Monteiro et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Predicting post-stroke activities of daily living through a machine learning-based approach on initiating rehabilitation
- (2018) Wan-Yin Lin et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Big Data and Machine Learning in Health Care
- (2018) Andrew L. Beam et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- FDA approves stroke-detecting AI software
- (2018) NATURE BIOTECHNOLOGY
- Thrombectomy 6 to 24 Hours after Stroke with a Mismatch between Deficit and Infarct
- (2018) Raul G. Nogueira et al. NEW ENGLAND JOURNAL OF MEDICINE
- Towards phenotyping stroke: Leveraging data from a large-scale epidemiological study to detect stroke diagnosis
- (2018) Yizhao Ni et al. PLoS One
- Prediction of Tissue Outcome and Assessment of Treatment Effect in Acute Ischemic Stroke Using Deep Learning
- (2018) Anne Nielsen et al. STROKE
- 2018 Guidelines for the Early Management of Patients With Acute Ischemic Stroke: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association
- (2018) William J. Powers et al. STROKE
- Corrigendum: Novel Prehospital Prediction Model of Large Vessel Occlusion Using Artificial Neural Network
- (2018) Zhicai Chen et al. Frontiers in Aging Neuroscience
- Prediction of neurologic deterioration based on support vector machine algorithms and serum osmolarity equations
- (2018) Jixian Lin et al. Brain and Behavior
- Hybrid 3D/2D Convolutional Neural Network for Hemorrhage Evaluation on Head CT
- (2018) P.D. Chang et al. AMERICAN JOURNAL OF NEURORADIOLOGY
- Predicting Motor and Cognitive Improvement Through Machine Learning Algorithm in Human Subject that Underwent a Rehabilitation Treatment in the Early Stage of Stroke
- (2018) Patrizio Sale et al. Journal of Stroke & Cerebrovascular Diseases
- Local spatio-temporal encoding of raw perfusion MRI for the prediction of final lesion in stroke
- (2018) Mathilde Giacalone et al. MEDICAL IMAGE ANALYSIS
- Application of Machine Learning to Automated Analysis of Cerebral Edema in Large Cohorts of Ischemic Stroke Patients
- (2018) Rajat Dhar et al. Frontiers in Neurology
- Predicting Outcome of Endovascular Treatment for Acute Ischemic Stroke: Potential Value of Machine Learning Algorithms
- (2018) Hendrikus J. A. van Os et al. Frontiers in Neurology
- Will machine learning end the viability of radiology as a thriving medical specialty?
- (2018) Stephen Chan et al. BRITISH JOURNAL OF RADIOLOGY
- Machine learning improves prediction of delayed cerebral ischemia in patients with subarachnoid hemorrhage
- (2018) Lucas Alexandre Ramos et al. Journal of NeuroInterventional Surgery
- Machine learning in medicine: Addressing ethical challenges
- (2018) Effy Vayena et al. PLOS MEDICINE
- Prediction of Hemorrhagic Transformation Severity in Acute Stroke from Source Perfusion MRI
- (2017) Yannan Yu et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Deep learning guided stroke management: a review of clinical applications
- (2017) Rui Feng et al. Journal of NeuroInterventional Surgery
- Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016
- (2017) Mohsen Naghavi et al. LANCET
- Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks
- (2017) Liang Chen et al. NeuroImage-Clinical
- Predicting the Future — Big Data, Machine Learning, and Clinical Medicine
- (2016) Ziad Obermeyer et al. NEW ENGLAND JOURNAL OF MEDICINE
- Automated quantification of cerebral edema following hemispheric infarction: Application of a machine-learning algorithm to evaluate CSF shifts on serial head CTs
- (2016) Yasheng Chen et al. NeuroImage-Clinical
- Decoding post-stroke motor function from structural brain imaging
- (2016) Jane M. Rondina et al. NeuroImage-Clinical
- Application of knowledge discovery process on the prediction of stroke
- (2015) Cemil Colak et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Full medical support for intracerebral hemorrhage
- (2015) L. B. Morgenstern et al. NEUROLOGY
- Clinician judgment vs formal scales for predicting intracerebral hemorrhage outcomes
- (2015) David Y. Hwang et al. NEUROLOGY
- Endovascular Therapy for Ischemic Stroke with Perfusion-Imaging Selection
- (2015) Bruce C.V. Campbell et al. NEW ENGLAND JOURNAL OF MEDICINE
- Multiclass Support Vector Machine-Based Lesion Mapping Predicts Functional Outcome in Ischemic Stroke Patients
- (2015) Nils Daniel Forkert et al. PLoS One
- Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study
- (2015) Oskar Maier et al. PLoS One
- Palliative and End-of-Life Care in Stroke
- (2014) Robert G. Holloway et al. STROKE
- Prediction of stroke thrombolysis outcome using CT brain machine learning
- (2014) Paul Bentley et al. NeuroImage-Clinical
- Prognosis in Severe Brain Injury
- (2013) Robert D. Stevens et al. CRITICAL CARE MEDICINE
- Early Identification of Potentially Salvageable Tissue with MRI-Based Predictive Algorithms after Experimental Ischemic Stroke
- (2013) Mark JRJ Bouts et al. JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
- Multi-center prediction of hemorrhagic transformation in acute ischemic stroke using permeability imaging features
- (2013) Fabien Scalzo et al. MAGNETIC RESONANCE IMAGING
- Forecasting the Future of Stroke in the United States: A Policy Statement From the American Heart Association and American Stroke Association
- (2013) B. Ovbiagele et al. STROKE
- Predicting outcome and recovery after stroke with lesions extracted from MRI images
- (2013) Thomas M.H. Hope et al. NeuroImage-Clinical
- The PREP algorithm predicts potential for upper limb recovery after stroke
- (2012) C. M. Stinear et al. BRAIN
- MRI profile and response to endovascular reperfusion after stroke (DEFUSE 2): a prospective cohort study
- (2012) Maarten G Lansberg et al. LANCET NEUROLOGY
- Real-time diffusion-perfusion mismatch analysis in acute stroke
- (2010) Matus Straka et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Stroke treatment with alteplase given 3·0–4·5 h after onset of acute ischaemic stroke (ECASS III): additional outcomes and subgroup analysis of a randomised controlled trial
- (2009) Erich Bluhmki et al. LANCET NEUROLOGY
- Thrombolysis with Alteplase 3 to 4.5 Hours after Acute Ischemic Stroke
- (2008) Werner Hacke et al. NEW ENGLAND JOURNAL OF MEDICINE
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started