ArticleNeurorehabilitation and neural repair2020
Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic Stroke.
Abstract readMulticenter Study
In one paragraph
Article in Neurorehabilitation and neural repair, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.
0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Machine learning in predicting outcomes for stroke patients following rehabilitation treatment: A systematic review.PloS one · 2023Pooled it
- Electric Field Navigated 1-Hz rTMS for Poststroke Motor Recovery: The E-FIT Randomized Controlled Trial.Stroke · 2023Trial
- Imaging-Enhanced Prediction of Upper Limb Motor Function After Stroke Using Automated Segmentation and Cluster Analysis.Journal of Korean medical science · 2026Article
- Sensor-Based Classification of Post-Stroke Motor Impairment Using Fugl-Meyer Lower Extremity Scores.Sensors (Basel, Switzerland) · 2026Article
- AI-based video analysis for the assessment of upper limb function in children with unilateral cerebral palsy: feasibility of remote monitoring.Journal of neuroengineering and rehabilitation · 2026Article
- Article
- Machine learning-based study of the predictors of clinically important change in patient-reported outcomes in bilateral upper-limb function in patients receiving robotic stroke rehabilitation.Frontiers in rehabilitation sciences · 2026Article
- Automated EMG-Based Classification of Upper Extremity Motor Impairment Levels in Subacute Stroke.Sensors (Basel, Switzerland) · 2025Article
- Estimation of Fugl-Meyer Assessment Upper-Extremity Sub-Scores Using a Mixup-Augmented LSTM Autoencoder and Wearable Sensor Data.Sensors (Basel, Switzerland) · 2025Article
- A review of machine learning applications in heart health.Biomedical engineering online · 2025Review
- Acute Stroke Severity Assessment: The Impact of Lesion Size and Functional Connectivity.Brain sciences · 2025Article
- Enhancing rehabilitation in stroke survivors: a deep learning approach to access upper extremity movement using accelerometry data.Frontiers in artificial intelligence · 2025Article
- Assessment of functional decline in stroke patients using 3D deep learning and dynamic functional connectivity based on resting-state fMRI.Frontiers in neurology · 2025Article
- The challenge of long-term stroke outcome prediction and how statistical correlates do not imply predictive value.Brain communications · 2025Article
- Development of an upper limb muscle strength rehabilitation assessment system using particle swarm optimisation.Frontiers in bioengineering and biotechnology · 2025Article
- Towards Transforming Neurorehabilitation: The Impact of Artificial Intelligence on Diagnosis and Treatment of Neurological Disorders.Biomedicines · 2024Review
- AI Applications in Adult Stroke Recovery and Rehabilitation: A Scoping Review Using AI.Sensors (Basel, Switzerland) · 2024Article
- Unsupervised Machine Learning Revealed that Repeat Transcranial Magnetic Stimulation is More Suitable for Stroke Patients with Statin.Neurology and therapy · 2024Article
- TMS assessment of corticospinal tract integrity after stroke: broadening the concept to inform neurorehabilitation prescription.Frontiers in human neuroscience · 2024Article
- Prediction Model for Unfavorable Outcome in Spontaneous Intracerebral Hemorrhage Based on Machine Learning.Journal of Korean Neurosurgical Society · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Ceren TozluDepartment of Radiology, Weill Cornell Medicine, New York, NY, USA.ORCID 0000-0002-6828-886X
Dylan EdwardsMoss Rehabilitation Research Institute, Elkins Park, PA, USA.
Aaron BoesDepartments of Pediatrics, Neurology & Psychiatry, Iowa Neuroimaging and Noninvasive Brain Stimulation Laboratory, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Douglas LabarDepartment of Neurology, Weill Cornell Medical College, New York, NY, USA.
K Zoe TsagarisBurke Neurological Institute, White Plains, NY, USA.
Joshua SilversteinBurke Neurological Institute, White Plains, NY, USA.
Heather Pepper LaneBurke Neurological Institute, White Plains, NY, USA.
Mert R SabuncuSchool of Electrical and Computer Engineering and Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Charles LiuUSC Neurorestoration Center, Los Angeles, CA.
Amy KuceyeskiDepartment of Radiology, Weill Cornell Medicine, New York, NY, USA.
Funding
Multi-Modal Imaging of the Mechanisms Underlying Impaired Executive Attention After Traumatic Brain InjuryR01NS102646 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KUCEYESKI, AMY FRANCES, SHAH, SUDHIN · 2018 to 2022
$2.8MAdvanced machine learning algorithms that integrate genomewide, longitudinal MRI and demographic data to predict future cognitive decline toward dementiaR01AG053949 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI SABUNCU, MERT RORY · 2017 to 2021
$2.4MNovel Bioinformatics Strategies to Study Associations Between Genetic Variants and Neuroanatomical ShapeR01LM012719 · NLM · CORNELL UNIVERSITY · PI SABUNCU, MERT RORY · 2017 to 2020
$1.4MQuantifying the role of the connectome in resiliency to multiple sclerosisR21NS104634 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KUCEYESKI, AMY FRANCES · 2017 to 2018
$466kNIA NIH HHS R01 AG053949NINDS NIH HHS R01 NS102646NINDS NIH HHS R21 NS104634NLM NIH HHS R01 LM012719
Abstract
PubMed holds no abstract for this paper.
Indexed as
Exercise TherapyMachine LearningNeural Networks, ComputerOutcome Assessment, Health CareStroke RehabilitationTranscranial Magnetic StimulationAgedChronic DiseaseEvoked Potentials, MotorFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMotor CortexSeverity of Illness Indexchronic strokeFugl-Meyer Assessmentmachine learningpredictive modelswhite matter disconnectivity
Identifiers
What OpenQuestion holds
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Read underepoch 390
Registered trials
None linked
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.