Mar 2026· Caspian Journal of Internal Medicine· Vol 17, pp. 242 - 254· 0 citations· 72 references
Medicine
TL;DR
The usage of deep learning as a class of machine learning and a method of artificial intelligence for analyzing data obtained from MRI and OCT in MS patients are reviewed and discussed.
Abstract
Multiple sclerosis (MS) is an autoimmune disease that affects various parts of the central nervous system and often occurs in young population (between 20-40 years old). Given that MS is a lifelong disease and there is currently no definitive treatment for MS, early diagnosis, initiation of treatment with the most appropriate medication, and patient monitoring are three challenging factors in determining the status of MS patients. Magnetic resonance imaging (MRI) and optical coherence tomography (OCT) are two important and useful imaging methods in all the three aspects of diagnosing, monitoring, and determining the effectiveness of treatment in MS patients. In recent years, the use of artificial intelligence in analyzing MRI and OCT data in these aspects has been rapidly increasing. In this article, we reviewed and discussed the usage of deep learning as a class of machine learning and a method of artificial intelligence for analyzing data obtained from MRI and OCT in MS patients.
Multiple sclerosis (MS) is a chronic neurological disorder affecting the central nervous system,
causing a range of symptoms including vision problems, fatigue, and motor dysfunction. Early and
accurate diagnosis is crucial for effective treatment and management of the disease. Magnetic
Resonance Imaging (MRI) plays a...
Raghad Khairullah Abdulazeez Kando· Research Journal of Pure Sci...· 0 citations
Multiple sclerosis (MS) is a chronic neurological disease whose diagnosis typically relies on resource-intensive and partly invasive procedures such as MRI and spinal fluid analysis. This study explores whether deep learning can identify distinguishing patterns in RBC images associated with MS, aiming to determine whet...
Dylan Tijburg, Noor Christoph, Tahir Nawaz et al.· Journal of Imaging· 0 citations
Neurodegenerative disorders, including Alzheimer's disease, Parkinson's disease, and multiple sclerosis, encompass a wide range of chronic conditions with irreversible damage to the central nervous system. Current diagnostic workups of these disorders rely on invasive, time-consuming, and costly tests, such as magnetic...
Ali Aghababaei, Masoud Etemadifar, Amir Atapour-Abarghouei et al.· Annual Review of Vision Scie...· 0 citations
Traditionally, in amyotrophic lateral sclerosis (ALS) and other motor neuron disorders, the diagnostic and research focus in the domain of magnetic resonance imaging (MRI) has been targeted on the brain and spinal cord. Nevertheless, structures outside the central nervous system (CNS) are core structures of the patholo...
Jan Kassubek, Hans-Peter Müller· Frontiers in Neurology· 1 citation
Alzheimer’s disease (AD), the most prevalent neurodegenerative disorder, poses substantial challenges for early diagnosis and longitudinal monitoring—two cornerstones of effective clinical management and therapeutic intervention. Magnetic resonance imaging (MRI), owing to its non-invasiveness and high spatial resolutio...
Li-Hua Deng, Yan Zeng, Pei-Ling Ou et al.· Frontiers in Neurology· 0 citations
The review is intended to summarize and discuss the increasing roles and perspectives of neuroimaging in the clinical and scientific work-up of amyotrophic lateral sclerosis (ALS) and other motor neuron diseases (MND). The applications of magnetic resonance imaging (MRI) and positron emission tomography (PET) identify...
Jan Kassubek, Hans-Peter Müller· Current Neurology and Neuros...· 0 citations
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