AIMC Topic: Nervous System Diseases

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Machine Learning and Neurosurgical Outcome Prediction: A Systematic Review.

World neurosurgery Oct 3, 2017
OBJECTIVE: Accurate measurement of surgical outcomes is highly desirable to optimize surgical decision-making. An important element of surgical decision making is identification of the patient cohort that will benefit from surgery before the interven...
Neurosurgical Procedures Outcome Assessment, Health Care Nervous System Diseases Machine Learning Decision Support Techniques Computer Simulation Humans Prognosis
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MIT-Skywalker: considerations on the Design of a Body Weight Support System.

Journal of neuroengineering and rehabilitation Sep 6, 2017
BACKGROUND: To provide body weight support during walking and balance training, one can employ two distinct embodiments: support through a harness hanging from an overhead system or support through a saddle/seat type. This paper presents a comparison...
Software Female Adult Biomechanical Phenomena Humans Healthy Volunteers Nervous System Diseases Walking Speed Orthotic Devices Male Robotics Walking Body Weight Bicycling Gait Disorders, Neurologic
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Robot-supported assessment of balance in standing and walking.

Journal of neuroengineering and rehabilitation Aug 14, 2017
Clinically useful and efficient assessment of balance during standing and walking is especially challenging in patients with neurological disorders. However, rehabilitation robots could facilitate assessment procedures and improve their clinical valu...
Nervous System Diseases Physical Therapy Modalities Humans Male Robotics Postural Balance Walking
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Automatic Assessment of a Rollator-User's Condition During Rehabilitation Using the i-Walker Platform.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 25, 2017
Patient condition during rehabilitation has been traditionally assessed using clinical scales. These scales typically require the patient and/or the clinician to rate a number of condition-related items to obtain a final score. This is a time-consumi...
Humans Algorithms Female Reproducibility of Results Aged Postural Balance Equipment Design Gait Treatment Outcome Nervous System Diseases Parkinson Disease Stroke Rehabilitation Models, Statistical Self-Help Devices Robotics Walkers Aged, 80 and over Rehabilitation Male Middle Aged
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Predictive control of intersegmental tarsal movements in an insect.

Journal of computational neuroscience Apr 22, 2017
In many animals intersegmental reflexes are important for postural and movement control but are still poorly undesrtood. Mathematical methods can be used to model the responses to stimulation, and thus go beyond a simple description of responses to s...
Grasshoppers Reflex Robotics Walking Nervous System Diseases Movement Neural Networks, Computer Animals Models, Neurological
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Ontology-based collection, representation and analysis of drug-associated neuropathy adverse events.

Journal of biomedical semantics May 21, 2016
BACKGROUND: Neuropathy often occurs following drug treatment such as chemotherapy. Severe instances of neuropathy can result in cessation of life-saving chemotherapy treatment.
Biological Ontologies Nervous System Diseases Drug-Related Side Effects and Adverse Reactions
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Robot-Aided Neurorehabilitation: A Pediatric Robot for Ankle Rehabilitation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 6, 2015
This paper presents the pediAnklebot, an impedance-controlled low-friction, backdriveable robotic device developed at the Massachusetts Institute of Technology that trains the ankle of neurologically impaired children of ages 6-10 years old. The desi...
Humans Ankle Neurological Rehabilitation Algorithms Games, Experimental Learning Psychomotor Performance Cerebral Palsy Nervous System Diseases Child Female Robotics Biomechanical Phenomena Equipment Design Male Reaction Time
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Automated classification of neurological disorders of gait using spatio-temporal gait parameters.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology Feb 7, 2015
OBJECTIVE: Automated pattern recognition systems have been used for accurate identification of neurological conditions as well as the evaluation of the treatment outcomes. This study aims to determine the accuracy of diagnoses of (oto-)neurological g...
Nervous System Diseases Algorithms Aged, 80 and over Bayes Theorem Male Gait Female Humans Middle Aged Pattern Recognition, Automated Reproducibility of Results Neural Networks, Computer Time Factors Aged Artificial Intelligence Support Vector Machine Muscle, Skeletal Principal Component Analysis
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AI in Neurology: Everything, Everywhere, All at Once Part 1: Principles and Practice.

Annals of neurology Aug 1, 2025
Artificial intelligence (AI) is rapidly transforming healthcare, yet it often remains opaque to clinicians, scientists, and patients alike. This review, part 1 of a 3-part series, provides neurologists and neuroscientists with a foundational understa...
Machine Learning Brain-Computer Interfaces Nervous System Diseases Neurology Humans Artificial Intelligence
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Enhancing patient rehabilitation outcomes: artificial intelligence-driven predictive modeling for home discharge in neurological and orthopedic conditions.

Journal of neuroengineering and rehabilitation May 26, 2025
In recent years, the fusion of the medical and computer science domains has gained significant traction in the scientific research landscape. Progress in both fields has enabled the generation of a vast amount of data used for making predictions and ...
Adult Male Middle Aged Patient Discharge Electronic Health Records Female Aged Nervous System Diseases Neurological Rehabilitation Humans Artificial Intelligence Machine Learning Algorithms
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