AIMC Topic: Multiple Sclerosis

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Diagnostic performance of artificial intelligence in multiple sclerosis: a systematic review and meta-analysis.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology Oct 27, 2022
BACKGROUND: The expansion of the availability of advanced imaging methods needs more time, expertise, and resources which is in contrast to the primary goal of the imaging techniques. To overcome most of these difficulties, artificial intelligence (A...
Humans Area Under Curve Multiple Sclerosis Artificial Intelligence Databases, Factual
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Prior optic neuritis detection on peripapillary ring scans using deep learning.

Annals of clinical and translational neurology Oct 25, 2022
BACKGROUND: The diagnosis of multiple sclerosis (MS) requires demyelinating events that are disseminated in time and space. Peripapillary retinal nerve fiber layer (pRNFL) thickness as measured by optical coherence tomography (OCT) distinguishes eyes...
Humans Deep Learning Multiple Sclerosis Optic Neuritis Tomography, Optical Coherence Retina
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Multiple Sclerosis Diagnosis Using Machine Learning and Deep Learning: Challenges and Opportunities.

Sensors (Basel, Switzerland) Oct 16, 2022
Multiple Sclerosis (MS) is a disease that impacts the central nervous system (CNS), which can lead to brain, spinal cord, and optic nerve problems. A total of 2.8 million are estimated to suffer from MS. Globally, a new case of MS is reported every f...
Magnetic Resonance Imaging Multiple Sclerosis Humans Machine Learning Reproducibility of Results Deep Learning
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Estimating individual treatment effect on disability progression in multiple sclerosis using deep learning.

Nature communications Sep 26, 2022
Disability progression in multiple sclerosis remains resistant to treatment. The absence of a suitable biomarker to allow for phase 2 clinical trials presents a high barrier for drug development. We propose to enable short proof-of-concept trials by ...
Multiple Sclerosis, Chronic Progressive Deep Learning Multiple Sclerosis Recurrence Multiple Sclerosis, Relapsing-Remitting Humans Disease Progression
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Evaluation of Disability Progression in Multiple Sclerosis via Magnetic-Resonance-Based Deep Learning Techniques.

International journal of molecular sciences Sep 13, 2022
Short-term disability progression was predicted from a baseline evaluation in patients with multiple sclerosis (MS) using their three-dimensional T1-weighted (3DT1) magnetic resonance images (MRI). One-hundred-and-eighty-one subjects diagnosed with M...
Deep Learning Magnetic Resonance Imaging Disability Evaluation Multiple Sclerosis Brain Disease Progression Humans
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Do people with multiple sclerosis perceive upper limb improvements from robotic-mediated therapy? A mixed methods study.

Multiple sclerosis and related disorders Sep 6, 2022
BACKGROUND: Robot-mediated training is increasingly considered as a rehabilitation intervention targeting upper limb disability. However, experiences of such an intervention have been rarely explored in the multiple sclerosis population. This mixed m...
Robotics Exercise Therapy Humans Treatment Outcome Upper Extremity Activities of Daily Living Multiple Sclerosis
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Validation of a Denoising Method Using Deep Learning-Based Reconstruction to Quantify Multiple Sclerosis Lesion Load on Fast FLAIR Imaging.

AJNR. American journal of neuroradiology Jul 28, 2022
BACKGROUND AND PURPOSE: Accurate quantification of WM lesion load is essential for the care of patients with multiple sclerosis. We tested whether the combination of accelerated 3D-FLAIR and denoising using deep learning-based reconstruction could pr...
Humans Deep Learning Magnetic Resonance Imaging Multiple Sclerosis Image Interpretation, Computer-Assisted
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Transformer-Based Deep-Learning Algorithm for Discriminating Demyelinating Diseases of the Central Nervous System With Neuroimaging.

Frontiers in immunology Jun 14, 2022
BACKGROUND: Differential diagnosis of demyelinating diseases of the central nervous system is a challenging task that is prone to errors and inconsistent reading, requiring expertise and additional examination approaches. Advancements in deep-learnin...
Spinal Cord Deep Learning Humans Aquaporin 4 Neuroimaging Multiple Sclerosis Neuromyelitis Optica
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Role of artificial intelligence in MS clinical practice.

NeuroImage. Clinical May 28, 2022
Machine learning (ML) and its subset, deep learning (DL), are branches of artificial intelligence (AI) showing promising findings in the medical field, especially when applied to imaging data. Given the substantial role of MRI in the diagnosis and ma...
Machine Learning Algorithms Multicenter Studies as Topic Humans Reproducibility of Results Multiple Sclerosis Artificial Intelligence Deep Learning
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Multiple sclerosis cortical lesion detection with deep learning at ultra-high-field MRI.

NMR in biomedicine Mar 31, 2022
Manually segmenting multiple sclerosis (MS) cortical lesions (CLs) is extremely time consuming, and past studies have shown only moderate inter-rater reliability. To accelerate this task, we developed a deep-learning-based framework (CLAIMS: Cortical...
Multiple Sclerosis Deep Learning Magnetic Resonance Imaging Humans Reproducibility of Results
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