AIMC Topic: Multiple Sclerosis

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Artificial Intelligence and Multiple Sclerosis.

Current neurology and neuroscience reports Jun 28, 2024
In this paper, we analyse the different advances in artificial intelligence (AI) approaches in multiple sclerosis (MS). AI applications in MS range across investigation of disease pathogenesis, diagnosis, treatment, and prognosis. A subset of AI, Mac...
Multiple Sclerosis Humans Artificial Intelligence Machine Learning
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Evaluation of machine learning-based classification of clinical impairment and prediction of clinical worsening in multiple sclerosis.

Journal of neurology Jun 23, 2024
BACKGROUND: Robust predictive models of clinical impairment and worsening in multiple sclerosis (MS) are needed to identify patients at risk and optimize treatment strategies.
Brain Female Adult Humans Machine Learning Cohort Studies Follow-Up Studies Magnetic Resonance Imaging Male Middle Aged Disease Progression Disability Evaluation Multiple Sclerosis
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Time-Dependent Deep Learning Prediction of Multiple Sclerosis Disability.

Journal of imaging informatics in medicine Jun 13, 2024
The majority of deep learning models in medical image analysis concentrate on single snapshot timepoint circumstances, such as the identification of current pathology on a given image or volume. This is often in contrast to the diagnostic methodology...
Female Adult Male Humans Neural Networks, Computer Magnetic Resonance Imaging Multiple Sclerosis Image Interpretation, Computer-Assisted Disease Progression Deep Learning Time Factors
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Using machine learning algorithms to detect fear of falling in people with multiple sclerosis in standardized gait analysis.

Multiple sclerosis and related disorders Jun 10, 2024
INTRODUCTION: Multiple sclerosis (MS) is the most common chronic inflammatory disease of the central nervous system. The progressive impairment of gait is one of the most important pathognomic symptoms which are associated with falls and fear of fall...
Gait Disorders, Neurologic Male Middle Aged Accidental Falls Multiple Sclerosis Fear Machine Learning Gait Analysis Female Adult Humans
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Testing Dynamic Balance in People with Multiple Sclerosis: A Correlational Study between Standard Posturography and Robotic-Assistive Device.

Sensors (Basel, Switzerland) May 23, 2024
BACKGROUND: Robotic devices are known to provide pivotal parameters to assess motor functions in Multiple Sclerosis (MS) as dynamic balance. However, there is still a lack of validation studies comparing innovative technologies with standard solution...
Postural Balance Multiple Sclerosis Male Self-Help Devices Middle Aged Humans Robotics Female Adult
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Artificial intelligence applied to MRI data to tackle key challenges in multiple sclerosis.

Multiple sclerosis (Houndmills, Basingstoke, England) May 13, 2024
Artificial intelligence (AI) is the branch of science aiming at creating algorithms able to carry out tasks that typically require human intelligence. In medicine, there has been a tremendous increase in AI applications thanks to increasingly powerfu...
Magnetic Resonance Imaging Multiple Sclerosis Neuroimaging Humans Artificial Intelligence
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The diagnostic performance of AI-based algorithms to discriminate between NMOSD and MS using MRI features: A systematic review and meta-analysis.

Multiple sclerosis and related disorders May 11, 2024
BACKGROUND: Magnetic resonance imaging [MRI] findings in Neuromyelitis optica spectrum disorder [NMOSD] and Multiple Sclerosis [MS] patients could lead us to discriminate toward them. For instance, U-fiber and Dawson's finger-type lesions are suggest...
Humans Artificial Intelligence Algorithms Neuromyelitis Optica Magnetic Resonance Imaging Diagnosis, Differential Multiple Sclerosis
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Improving the classification of multiple sclerosis and cerebral small vessel disease with interpretable transfer attention neural network.

Computers in biology and medicine May 1, 2024
As an autoimmune-mediated inflammatory demyelinating disease of the central nervous system, multiple sclerosis (MS) is often confused with cerebral small vessel disease (cSVD), which is a regional pathological change in brain tissue with unknown path...
Cerebral Small Vessel Diseases Multiple Sclerosis Image Interpretation, Computer-Assisted Neuroimaging Female Adult Male Middle Aged Deep Learning Magnetic Resonance Imaging Humans Neural Networks, Computer
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LST-AI: A deep learning ensemble for accurate MS lesion segmentation.

NeuroImage. Clinical Apr 29, 2024
Automated segmentation of brain white matter lesions is crucial for both clinical assessment and scientific research in multiple sclerosis (MS). Over a decade ago, we introduced an engineered lesion segmentation tool, LST. While recent lesion segment...
Female Humans Multiple Sclerosis Adult Neuroimaging Brain Male Deep Learning White Matter Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Deep learning for discrimination of active and inactive lesions in multiple sclerosis using non-contrast FLAIR MRI: A multicenter study.

Multiple sclerosis and related disorders Apr 21, 2024
BACKGROUND: Within the domain of multiple sclerosis (MS), the precise discrimination between active and inactive lesions bears immense significance. Active lesions are enhanced on T1-weighted MRI images after administration of gadolinium-based contra...
Female Adult Sensitivity and Specificity Humans Neural Networks, Computer Brain Magnetic Resonance Imaging Multiple Sclerosis Image Interpretation, Computer-Assisted Male Middle Aged Deep Learning
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