AIMC Topic: Multiple Sclerosis
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Classification Criteria for Multiple Sclerosis-Associated Intermediate Uveitis.
American journal of ophthalmology
May 11, 2021
PURPOSE: The purpose of this study was to determine classification criteria for multiple sclerosis-associated intermediate uveitis.
Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis.
IEEE journal of biomedical and health informatics
May 11, 2021
Falls are a significant problem for persons with multiple sclerosis (PwMS). Yet fall prevention interventions are not often prescribed until after a fall has been reported to a healthcare provider. While still nascent, objective fall risk assessments...
Digital Twins for Multiple Sclerosis.
Frontiers in immunology
May 3, 2021
An individualized innovative disease management is of great importance for people with multiple sclerosis (pwMS) to cope with the complexity of this chronic, multidimensional disease. However, an individual state of the art strategy, with precise adj...
Prediction of Multiple sclerosis disease using machine learning classifiers: a comparative study.
Journal of preventive medicine and hygiene
Apr 29, 2021
INTRODUCTION: Hamedan Province is one of Iran's high-risk regions for Multiple Sclerosis (MS). Early diagnosis of MS based on an accurate system can control the disease. The aim of this study was to compare the performance of four machine learning te...
Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data.
Nature communications
Apr 6, 2021
Multiple sclerosis (MS) can be divided into four phenotypes based on clinical evolution. The pathophysiological boundaries of these phenotypes are unclear, limiting treatment stratification. Machine learning can identify groups with similar features ...
A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data.
IEEE journal of biomedical and health informatics
Apr 6, 2021
Multiple sclerosis (MS) affects the central nervous system with a wide range of symptoms. MS can, for example, cause pain, changes in mood and fatigue, and may impair a person's movement, speech and visual functions. Diagnosis of MS typically involve...
Current review and next steps for artificial intelligence in multiple sclerosis risk research.
Computers in biology and medicine
Mar 13, 2021
In the last few decades, the prevalence of multiple sclerosis (MS), a chronic inflammatory disease of the nervous system, has increased, particularly in Northern European countries, the United States, and United Kingdom. The promise of artificial int...
Differentiation between multiple sclerosis and neuromyelitis optica spectrum disorders by multiparametric quantitative MRI using convolutional neural network.
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Mar 11, 2021
Multiple sclerosis and neuromyelitis optica spectrum disorders are both neuroinflammatory diseases and have overlapping clinical manifestations. We developed a convolutional neural network model that differentiates between the two based on magnetic r...
Leveraging electronic health records data to predict multiple sclerosis disease activity.
Annals of clinical and translational neurology
Feb 24, 2021
OBJECTIVE: No relapse risk prediction tool is currently available to guide treatment selection for multiple sclerosis (MS). Leveraging electronic health record (EHR) data readily available at the point of care, we developed a clinical tool for predic...
Machine and deep learning in multiple sclerosis research are just powerful statistics - Commentary.
Multiple sclerosis (Houndmills, Basingstoke, England)
Feb 24, 2021
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