Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review
Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor
problems for people with a detrimental effect on the functioning of the nervous system. In …
problems for people with a detrimental effect on the functioning of the nervous system. In …
Machine learning techniques for personalised medicine approaches in immune-mediated chronic inflammatory diseases: applications and challenges
In the past decade, the emergence of machine learning (ML) applications has led to
significant advances towards implementation of personalised medicine approaches for …
significant advances towards implementation of personalised medicine approaches for …
Prediction of disease progression and outcomes in multiple sclerosis with machine learning
Multiple Sclerosis is a chronic inflammatory disease, affecting the Central Nervous System
and leading to irreversible neurological damage, such as long term functional impairment …
and leading to irreversible neurological damage, such as long term functional impairment …
[HTML][HTML] Machine learning in diagnosis and disability prediction of multiple sclerosis using optical coherence tomography
Background Multiple sclerosis (MS) is a neurodegenerative disease that affects the central
nervous system, especially the brain, spinal cord, and optic nerve. Diagnosis of this disease …
nervous system, especially the brain, spinal cord, and optic nerve. Diagnosis of this disease …
Comparison of machine learning methods using spectralis OCT for diagnosis and disability progression prognosis in multiple sclerosis
Abstract Machine learning approaches in diagnosis and prognosis of multiple sclerosis (MS)
were analysed using retinal nerve fiber layer (RNFL) thickness, measured by optical …
were analysed using retinal nerve fiber layer (RNFL) thickness, measured by optical …
[HTML][HTML] Role of artificial intelligence in MS clinical practice
R Bonacchi, M Filippi, MA Rocca - NeuroImage: Clinical, 2022 - Elsevier
Abstract 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 …
intelligence (AI) showing promising findings in the medical field, especially when applied to …
Machine learning use for prognostic purposes in multiple sclerosis
The course of multiple sclerosis begins with a relapsing-remitting phase, which evolves into
a secondarily progressive form over an extremely variable period, depending on many …
a secondarily progressive form over an extremely variable period, depending on many …
Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression
Abstract Background and Objectives Research in Multiple Sclerosis (MS) has recently
focused on extracting knowledge from real-world clinical data sources. This type of data is …
focused on extracting knowledge from real-world clinical data sources. This type of data is …
An analytical review on the use of artificial intelligence and machine learning in diagnosis, prediction, and risk factor analysis of multiple sclerosis
Medical research offers potential for disease prediction, like Multiple Sclerosis (MS). This
neurological disorder damages nerve cell sheaths, with treatments focusing on symptom …
neurological disorder damages nerve cell sheaths, with treatments focusing on symptom …
In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim
Background The last few decades have seen the approval of many new treatment options
for Relapsing-Remitting Multiple Sclerosis (RRMS), as well as advances in diagnostic …
for Relapsing-Remitting Multiple Sclerosis (RRMS), as well as advances in diagnostic …