AIMC Topic: Nervous System Diseases
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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...
Fuzzy-Based Bioengineering System for Predicting and Diagnosing Diseases of the Nervous System Triggered by the Interaction of Industrial Frequency Electromagnetic Fields.
Critical reviews in biomedical engineering
Jan 1, 2024
The study aims to enhance the standard of medical care for individuals working in the electric power industry who are exposed to industrial frequency electromagnetic fields and other relevant risk factors. This enhancement is sought through the integ...
Robot-assisted rehabilitation for children with neurological disabilities: Results of the Italian consensus conference CICERONE.
NeuroRehabilitation
Jan 1, 2022
BACKGROUND: The use of robotic technologies in pediatric rehabilitation has seen a large increase, but with a lack of a comprehensive framework about their effectiveness.
Rehabilitation assisted by robotic and electromechanical devices for people with neurological disabilities: contributions for the preparation of a national conference in Italy.
European journal of physical and rehabilitation medicine
Jun 1, 2021
Drivers of Prolonged Hospitalization Following Spine Surgery: A Game-Theory-Based Approach to Explaining Machine Learning Models.
The Journal of bone and joint surgery. American volume
Jan 6, 2021
BACKGROUND: Understanding the interactions between variables that predict prolonged hospital length of stay (LOS) following spine surgery can help uncover drivers of this risk in patients. This study utilized a novel game-theory-based approach to dev...
A natural evolution optimization based deep learning algorithm for neurological disorder classification.
Bio-medical materials and engineering
Jan 1, 2020
BACKGROUND: A neurological disorder is one of the significant problems of the nervous system that affects the essential functions of the human brain and spinal cord. Monitoring brain activity through electroencephalography (EEG) has become an importa...
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