AIMC Topic: Nervous System Diseases
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Non-Face-to-Face Services in Neurologic Care.
Seminars in neurology
Mar 10, 2025
Neurologists in ambulatory settings struggle with low appointment availability and increased work related to patient care outside of clinic visits. Neurologists can better meet these demands using asynchronous or non-face-to-face care options. Specif...
Strategies for mitigating data heterogeneities in AI-based neuro-disease detection.
Neuron
Mar 3, 2025
In this NeuroView, we discuss challenges and best practices when dealing with disease-detection AI models that are trained on heterogeneous clinical data, focusing on the interrelated problems of model bias, causality, and rare diseases.
Electroencephalogram (EEG) Based Fuzzy Logic and Spiking Neural Networks (FLSNN) for Advanced Multiple Neurological Disorder Diagnosis.
Brain topography
Feb 24, 2025
Neurological disorders are a major global health concern that have a substantial impact on death rates and quality of life. accurately identifying a number of diseases Due to inherent data uncertainties and Electroencephalogram (EEG) pattern overlap,...
Interoperable Models for Identifying Critically Ill Children at Risk of Neurologic Morbidity.
JAMA network open
Feb 3, 2025
IMPORTANCE: Decreasing mortality in the field of pediatric critical care medicine has shifted practicing clinicians' attention to preserving patients' neurodevelopmental potential as a main objective. Earlier identification of critically ill children...
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...
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...
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...
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...
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...
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...
Child
Imaging, Three-Dimensional
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Image Interpretation, Computer-Assisted
Artifacts
Deep Learning
Adolescent
Female
Signal-To-Noise Ratio
Humans
Child, Preschool
Aged
Reproducibility of Results
Nervous System Diseases
Adult
Algorithms
Young Adult
Male
Brain
Middle Aged
White Matter
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