AIMC Topic: Multiple Sclerosis

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ChatGPT vs. neurologists: a cross-sectional study investigating preference, satisfaction ratings and perceived empathy in responses among people living with multiple sclerosis.

Journal of neurology Apr 3, 2024
BACKGROUND: ChatGPT is an open-source natural language processing software that replies to users' queries. We conducted a cross-sectional study to assess people living with Multiple Sclerosis' (PwMS) preferences, satisfaction, and empathy toward two ...
Humans Patient Satisfaction Patient Preference Empathy Neurologists Physician-Patient Relations Personal Satisfaction Multiple Sclerosis Cross-Sectional Studies Male Middle Aged Artificial Intelligence Female Adult
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Machine Learning Analysis Using RNA Sequencing to Distinguish Neuromyelitis Optica from Multiple Sclerosis and Identify Therapeutic Candidates.

The Journal of molecular diagnostics : JMD Mar 22, 2024
This study aims to identify RNA biomarkers distinguishing neuromyelitis optica (NMO) from relapsing-remitting multiple sclerosis (RRMS) and explore potential therapeutic applications leveraging machine learning (ML). An ensemble approach was develope...
Humans Machine Learning Biomarkers Diagnosis, Differential Multiple Sclerosis Multiple Sclerosis, Relapsing-Remitting Mitoxantrone Neuromyelitis Optica Middle Aged Gene Expression Profiling Sequence Analysis, RNA Female Adult Male
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Exploring subtypes of multiple sclerosis through unsupervised machine learning of automated fiber quantification.

Japanese journal of radiology Feb 27, 2024
PURPOSE: This study aimed to subtype multiple sclerosis (MS) patients using unsupervised machine learning on white matter (WM) fiber tracts and investigate the implications for cognitive function and disability outcomes.
Multiple Sclerosis White Matter Diffusion Tensor Imaging Middle Aged Disease Progression Unsupervised Machine Learning Female Adult Male Humans
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Identifying definite patterns of unmet needs in patients with multiple sclerosis using unsupervised machine learning.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology Feb 23, 2024
INTRODUCTION: People with multiple sclerosis (PwMS) exhibit a spectrum of needs that extend beyond solely disease-related determinants. Investigating unmet needs from the patient perspective may address daily difficulties and optimize care. Our aim w...
Surveys and Questionnaires Health Services Accessibility Cluster Analysis Cross-Sectional Studies Male Middle Aged Needs Assessment Unsupervised Machine Learning Multiple Sclerosis Health Services Needs and Demand Humans Female Adult
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Building digital patient pathways for the management and treatment of multiple sclerosis.

Frontiers in immunology Feb 15, 2024
Recent advances in the field of artificial intelligence (AI) could yield new insights into the potential causes of multiple sclerosis (MS) and factors influencing its course as the use of AI opens new possibilities regarding the interpretation and us...
Communication Humans Multiple Sclerosis Artificial Intelligence Awareness Cross-Sectional Studies
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Analysis of static plantar pressure data with capsule networks: Diagnosing ataxia in MS patients with a deep learning-based approach.

Multiple sclerosis and related disorders Jan 21, 2024
In this study, it was aimed to detect ataxia in patients with Multiple Sclerosis (MS) by utilizing static plantar pressure data and capsule networks (CapsNet), one of the deep learning (DL) architectures. CapsNet is also equipped with a robust dynami...
Humans Deep Learning Multiple Sclerosis Cerebellar Ataxia Physical Therapy Modalities Ataxia
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scNAT: a deep learning method for integrating paired single-cell RNA and T cell receptor sequencing profiles.

Genome biology Dec 18, 2023
Many deep learning-based methods have been proposed to handle complex single-cell data. Deep learning approaches may also prove useful to jointly analyze single-cell RNA sequencing (scRNA-seq) and single-cell T cell receptor sequencing (scTCR-seq) da...
RNA Humans Multiple Sclerosis Gene Expression Profiling Sequence Analysis, RNA Deep Learning Cell Movement Single-Cell Analysis Cluster Analysis
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Artificial Intelligence for Multiple Sclerosis Management Using Retinal Images: Pearl, Peaks, and Pitfalls.

Seminars in ophthalmology Dec 13, 2023
Multiple sclerosis (MS) is a complex autoimmune disease characterized by inflammatory processes, demyelination, neurodegeneration, and axonal damage within the central nervous system (CNS). Retinal imaging, particularly Optical coherence tomography (...
Artificial Intelligence Algorithms Disease Progression Tomography, Optical Coherence Retina Multiple Sclerosis Humans
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Soft Robotics to Enhance Upper Limb Endurance in Individuals with Multiple Sclerosis.

Soft robotics Oct 23, 2023
Multiple sclerosis (MS) is a chronic autoimmune disorder that affects the central nervous system and can result in various symptoms, including muscle weakness, spasticity, and fatigue, ultimately leading to the deterioration of the musculoskeletal sy...
Humans Robotics Elbow Arm Multiple Sclerosis Upper Extremity
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Global and Regional Deep Learning Models for Multiple Sclerosis Stratification From MRI.

Journal of magnetic resonance imaging : JMRI Oct 6, 2023
BACKGROUND: The combination of anatomical MRI and deep learning-based methods such as convolutional neural networks (CNNs) is a promising strategy to build predictive models of multiple sclerosis (MS) prognosis. However, studies assessing the effect ...
Image Processing, Computer-Assisted Reproducibility of Results Magnetic Resonance Imaging Adult Multiple Sclerosis Male Middle Aged Prognosis Humans Deep Learning Neural Networks, Computer ROC Curve Brain Retrospective Studies Female
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