AIMC Topic: Nervous System Diseases

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Predicting delayed neurological sequelae in patients with carbon monoxide poisoning using machine learning models.

Clinical toxicology (Philadelphia, Pa.) Jan 14, 2025
INTRODUCTION: Delayed neurological sequelae is a common complication following carbon monoxide poisoning, which significantly affects the quality of life of patients with the condition. We aimed to develop a machine learning-based prediction model to...
Carbon Monoxide Poisoning Female Aged Adult Emergency Service, Hospital Humans Nervous System Diseases Machine Learning Male Retrospective Studies Middle Aged
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Machine learning-based 28-day mortality prediction model for elderly neurocritically Ill patients.

Computer methods and programs in biomedicine Jan 6, 2025
BACKGROUND: The growing population of elderly neurocritically ill patients highlights the need for effective prognosis prediction tools. This study aims to develop and validate machine learning (ML) models for predicting 28-day mortality in intensive...
Algorithms Prognosis Critical Illness Humans Aged, 80 and over Machine Learning Male Kaplan-Meier Estimate Nervous System Diseases Intensive Care Units Female Aged
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Cost analysis of technological vs. conventional upper limb rehabilitation for patients with neurological disorders: an Italian real-world data case study.

Frontiers in public health Oct 14, 2024
INTRODUCTION: Most patients suffering from neurological disorders endure varying degrees of upper limb dysfunction, limiting their everyday activities, with only a limited number regaining full arm use. Robotic and technological rehabilitation has be...
Italy Male Upper Extremity Humans Costs and Cost Analysis Middle Aged Retrospective Studies Nervous System Diseases Robotics Female
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ChatGPT M.D.: Is there any room for generative AI in neurology?

PloS one Oct 9, 2024
ChatGPT, a general artificial intelligence, has been recognized as a powerful tool in scientific writing and programming but its use as a medical tool is largely overlooked. The general accessibility, rapid response time and comprehensive training da...
Nervous System Diseases Neurology Adult Male Middle Aged Artificial Intelligence Humans Female
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Assessment of wearable robotics performance in patients with neurological conditions.

Current opinion in neurology Oct 4, 2024
PURPOSE OF REVIEW: While wearable robotics is expanding within clinical settings, particularly for neurological rehabilitation, there is still a lack of consensus on how to effectively assess the performance of these devices. This review focuses on t...
Humans Wearable Electronic Devices Robotics Nervous System Diseases Neurological Rehabilitation
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Deep learning for efficient reconstruction of highly accelerated 3D FLAIR MRI in neurological deficits.

Magma (New York, N.Y.) Aug 30, 2024
OBJECTIVE: To compare compressed sensing (CS) and the Cascades of Independently Recurrent Inference Machines (CIRIM) with respect to image quality and reconstruction times when 12-fold accelerated scans of patients with neurological deficits are reco...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Adolescent Child, Preschool Child Nervous System Diseases White Matter Image Interpretation, Computer-Assisted Artifacts Signal-To-Noise Ratio Reproducibility of Results Aged Young Adult Middle Aged Deep Learning Adult Male Algorithms Brain Female Humans
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Learnable Brain Connectivity Structures for Identifying Neurological Disorders.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 28, 2024
Brain networks/graphs have been widely recognized as powerful and efficient tools for identifying neurological disorders. In recent years, various graph neural network models have been developed to automatically extract features from brain networks. ...
Neural Networks, Computer Machine Learning Algorithms Nerve Net Brain Nervous System Diseases Humans
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Robot-assisted gait training in patients with various neurological diseases: A mixed methods feasibility study.

PloS one Aug 27, 2024
BACKGROUND: Walking impairment represents a relevant symptom in patients with neurological diseases often compromising social participation. Currently, mixed methods studies on robot-assisted gait training (RAGT) in patients with rare neurological di...
Nervous System Diseases Gait Disorders, Neurologic Gait Humans Feasibility Studies Exercise Therapy Male Middle Aged Female Aged Adult Robotics Walking
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Optimized efficient attention-based network for facial expressions analysis in neurological health care.

Computers in biology and medicine Jul 11, 2024
Facial Expression Analysis (FEA) plays a vital role in diagnosing and treating early-stage neurological disorders (NDs) like Alzheimer's and Parkinson's. Manual FEA is hindered by expertise, time, and training requirements, while automatic methods co...
Facial Expression Nervous System Diseases Humans Deep Learning Parkinson Disease Female Male
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BiœmuS: A new tool for neurological disorders studies through real-time emulation and hybridization using biomimetic Spiking Neural Network.

Nature communications Jun 20, 2024
Characterization and modeling of biological neural networks has emerged as a field driving significant advancements in our understanding of brain function and related pathologies. As of today, pharmacological treatments for neurological disorders rem...
Humans Nervous System Diseases Nerve Net Action Potentials Neurons Biomimetics Neural Networks, Computer Animals Models, Neurological
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