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Artificial Intelligence and Multiple Sclerosis: Up-to-Date Review
Yahya Naji1,2, Mohamed Mahdaoui3,4, Raymond Klevor3,4
1Neurology Department, REGNE Research Laboratory, Faculty of Medicine and Pharmacy, Ibn Zohr University, Agadir, MAR.
Cureus
|October 19, 2023
Summary
Artificial intelligence (AI) offers new hope for multiple sclerosis (MS) management. AI algorithms analyze patient data to improve diagnosis, personalize treatment, and predict outcomes for MS patients.
Area of Science:
- Neurology
- Artificial Intelligence
- Medical Informatics
Background:
- Multiple sclerosis (MS) presents significant diagnostic and management challenges.
- Integration of AI in healthcare provides novel opportunities for MS care.
- AI models leverage extensive patient data for analysis.
Purpose of the Study:
- To conduct a literature review on AI applications in multiple sclerosis (MS).
- To identify and synthesize recent advancements and implications of AI in MS.
- To explore the potential of AI in transforming MS diagnosis and management.
Main Methods:
- Literature review of peer-reviewed studies published within the last four years.
- Extraction of data on AI techniques, advancements, and clinical implications.
- Analysis of extracted data to identify key themes and trends in AI for MS.
Main Results:
- AI models demonstrate promise in enhancing diagnostic accuracy for MS.
- AI facilitates the development of tailored management plans and improved prognostication.
- AI integration represents a paradigm shift in multiple sclerosis disease management.
Conclusions:
- AI technologies are poised to significantly improve diagnostics and treatment strategies for MS.
- Continued advancements in AI and data availability promise further innovation in MS care.
- AI integration is crucial for optimizing patient outcomes in multiple sclerosis.
