AIMC Topic: Multiple Sclerosis
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Predicting multiple sclerosis disease progression and outcomes with machine learning and MRI-based biomarkers: a review.
Journal of neurology
Sep 12, 2024
Multiple sclerosis (MS) is a demyelinating neurological disorder with a highly heterogeneous clinical presentation and course of progression. Disease-modifying therapies are the only available treatment, as there is no known cure for the disease. Car...
An extensible and unifying approach to retrospective clinical data modeling: the BrainTeaser Ontology.
Journal of biomedical semantics
Aug 30, 2024
Automatic disease progression prediction models require large amounts of training data, which are seldom available, especially when it comes to rare diseases. A possible solution is to integrate data from different medical centres. Nevertheless, vari...
A future of AI-driven personalized care for people with multiple sclerosis.
Frontiers in immunology
Aug 19, 2024
Multiple sclerosis (MS) is a devastating immune-mediated disorder of the central nervous system resulting in progressive disability accumulation. As there is no cure available yet for MS, the primary therapeutic objective is to reduce relapses and to...
Generative artificial intelligence versus clinicians: Who diagnoses multiple sclerosis faster and with greater accuracy?
Multiple sclerosis and related disorders
Aug 6, 2024
BACKGROUND: Those receiving the diagnosis of multiple sclerosis (MS) over the next ten years will predominantly be part of Generation Z (Gen Z). Recent observations within our clinic suggest that younger people with MS utilize online generative artif...
Machine learning-driven diagnosis of multiple sclerosis from whole blood transcriptomics.
Brain, behavior, and immunity
Aug 2, 2024
Multiple sclerosis (MS) is a neurological disorder characterized by immune dysregulation. It begins with a first clinical manifestation, a clinically isolated syndrome (CIS), which evolves to definite MS in case of further clinical and/or neuroradiol...
A machine learning approach to determine the risk factors for fall in multiple sclerosis.
BMC medical informatics and decision making
Jul 30, 2024
BACKGROUND: Falls in multiple sclerosis can result in numerous problems, including injuries and functional loss. Therefore, determining the factors contributing to falls in people with Multiple Sclerosis (PwMS) is crucial. This study aims to investig...
Detection of diffusely abnormal white matter in multiple sclerosis on multiparametric brain MRI using semi-supervised deep learning.
Scientific reports
Jul 26, 2024
In addition to focal lesions, diffusely abnormal white matter (DAWM) is seen on brain MRI of multiple sclerosis (MS) patients and may represent early or distinct disease processes. The role of MRI-observed DAWM is understudied due to a lack of automa...
An analytical review on the use of artificial intelligence and machine learning in diagnosis, prediction, and risk factor analysis of multiple sclerosis.
Multiple sclerosis and related disorders
Jul 16, 2024
Medical research offers potential for disease prediction, like Multiple Sclerosis (MS). This neurological disorder damages nerve cell sheaths, with treatments focusing on symptom relief. Manual MS detection is time-consuming and error prone. Though M...
Explainable machine learning on baseline MRI predicts multiple sclerosis trajectory descriptors.
PloS one
Jul 16, 2024
Multiple sclerosis (MS) is a multifaceted neurological condition characterized by challenges in timely diagnosis and personalized patient management. The application of Artificial Intelligence (AI) to MS holds promises for early detection, accurate d...
Efficient segmentation of active and inactive plaques in FLAIR-images using DeepLabV3Plus SE with efficientnetb0 backbone in multiple sclerosis.
Scientific reports
Jul 15, 2024
This research paper introduces an efficient approach for the segmentation of active and inactive plaques within Fluid-attenuated inversion recovery (FLAIR) images, employing a convolutional neural network (CNN) model known as DeepLabV3Plus SE with th...
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