Review highlights potential of AI for diagnosis and patient monitoring in MS, suggesting improved clinical decision-making ahead.
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.
No takes yet. Share an insight, caveat, or question.
Amin et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: