AIMC Topic: Nervous System Diseases
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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.
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...
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...
Optimizing the early diagnosis of neurological disorders through the application of machine learning for predictive analytics in medical imaging.
Scientific reports
Jul 2, 2025
Early diagnosis of Neurological Disorders (ND) such as Alzheimer's disease (AD) and Brain Tumors (BT) can be highly challenging since these diseases cause minor changes in the brain's anatomy. Magnetic Resonance Imaging (MRI) is a vital tool for diag...
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 ...
Facial expression deep learning algorithms in the detection of neurological disorders: a systematic review and meta-analysis.
Biomedical engineering online
May 22, 2025
BACKGROUND: Neurological disorders, ranging from common conditions like Alzheimer's disease that is a progressive neurodegenerative disorder and remains the most common cause of dementia worldwide to rare disorders such as Angelman syndrome, impose a...
Machine Learning in Drug Development for Neurological Diseases: A Review of Blood Brain Barrier Permeability Prediction Models.
Molecular informatics
Mar 1, 2025
The blood brain barrier (BBB) is an endothelial-derived structure which restricts the movement of certain molecules between the general somatic circulatory system to the central nervous system (CNS). While the BBB maintains homeostasis by regulating ...
Economic implications of artificial intelligence-driven recommended systems in healthcare: a focus on neurological disorders.
Frontiers in public health
Jan 1, 2025
INTRODUCTION: The rapid advancement of Artificial Intelligence (AI)-driven recommendation systems in healthcare presents significant economic implications, particularly in the context of neurological disorders. These systems offer opportunities to en...
Aggregated Pattern Classification Method for improving neural disorder stage detection.
Brain and behavior
Aug 1, 2024
BACKGROUND: Neurological disorders pose a significant health challenge, and their early detection is critical for effective treatment planning and prognosis. Traditional classification of neural disorders based on causes, symptoms, developmental stag...
Assistive tools for classifying neurological disorders using fMRI and deep learning: A guide and example.
Brain and behavior
Jun 1, 2024
BACKGROUND: Deep-learning (DL) methods are rapidly changing the way researchers classify neurological disorders. For example, combining functional magnetic resonance imaging (fMRI) and DL has helped researchers identify functional biomarkers of neuro...
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