Multiple Sclerosis (MS) is a complex neurological condition that affects millions of people worldwide. While there is no known cure for MS, advancements in technology, particularly in the field of Artificial Intelligence (AI), offer promising possibilities for improving the lives of MS sufferers. In this collection of relevant articles, we delve into the ways in which AI can assist individuals with MS, exploring innovative applications and research findings that highlight the potential benefits of this emerging technology. Drawing from reputable sources, this compilation aims to shed light on the transformative role AI can play in enhancing the management, diagnosis, and treatment of Multiple Sclerosis, ultimately offering hope and improved outcomes for those living with this chronic condition.
In MS clinical practice, machine learning (ML) algorithms can automate repetitive tasks, analyze more data in less time, and achieve higher accuracy [2]
AI tools can integrate genomics, connectomics, other serum markers, and imaging to monitor MS [3]
AI can also be used to detect brain imaging changes in treated MS patients [4]
AI is increasingly being used in MS to improve diagnosis, prognosis, and monitoring of the disease, and to potentially identify which treatment is best for each patient [5]
[1] sagepub
Artificial intelligence will change MS care within the next 10 …
AI supports medicine AI also reduces workload and costs in actual clinical settings like infection detection. These examples show that in medical fields outside of multiple sclerosis (MS), AI already improves diagnostic performance, workflow, and cost-effectiveness.
[2] 
nih
Role of artificial intelligence in MS clinical practice – PMC
Among their several advantages, ML algorithms are able to automate repetitive tasks, to analyze more data in less time and to achieve higher accuracy and …
[3] 
neurologylive
Applying Artificial Intelligence to Monitor Multiple Sclerosis …
These AI tools can be a very helpful assistant to integrate, genomics, connectomics, other serum markers, and imaging, all together to make …
[4] 
ucl
AI used to detect brain’s response to multiple-sclerosis …
The study, published in Nature Digital Medicine, demonstrates that AI can be used to detect brain imaging changes in treated multiple sclerosis …
[5] 
neurodiem
Artificial intelligence in Multiple Sclerosis (AIMS): the future …
AI is increasingly being used in MS, from improving the diagnosis, the prognosis and the monitoring of disease, to potentially identifying which treatment is …
