Artificial Intelligence and Multiple Sclerosis: Past, Present, and Future

Abstract Artificial intelligence (AI) in multiple sclerosis (MS) is an area of growing importance of growing importance. We review the historical context, current applications, and future prospects of AI and machine learning (ML) in MS. The review highlights AI's potential to address critical challenges in MS management, including early and accurate diagnosis, individualized treatment strategies, prognostication, and efficient patient monitoring. By leveraging large datasets and high-dimensional data, AI promises profound insights and augments clinical decision-making processes. Additionally, the manuscript covers potential limitations and challenges facing AI use in MS clinical practice and research.

• Publication year

  2025

• Venue

  Seminars in neurology

• Publication date

  2025-07-25

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1055/a-2730-8997PMID 41213636
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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