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The Emerging Applications of Machine Learning in the Diagnosis of Multiple Sclerosis

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Artificial Intelligence and Autoimmune Diseases

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1133))

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Abstract

A chronic autoimmune inflammatory condition called multiple sclerosis (MS) affects the central nervous system which can cause issues related to the brain, optic nerve, and spinal cord. Machine learning (ML) and artificial intelligence (AI)-based multiple sclerosis diagnosis is a rapidly growing field. Multiple sclerosis is a chronic immune system disorder that impacts the central nervous system over an extended period of time and manifests as a variety of symptoms, making it difficult to diagnose. AI and ML techniques have the ability to increase the accuracy and efficiency of MS diagnosis by examining vast quantities of medical information and recognizing patterns that may be challenging for humans to identify. This chapter reviews the current state of the art in AI and ML-based diagnosis of MS, including the use of imaging data, clinical data, and biomarkers. Additionally, it highlights the challenges and limitations of AI and ML in MS diagnosis, along with the potential future possibilities of research in this area.

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Author information

Authors and Affiliations

  1. Department of Pharmaceutics, ISF College of Pharmacy, Ghal Kalan, GT Road, Moga, Punjab, 142001, India

    Anshul Sharma, Nitin Sharma, Akshita Arora & Richa Pal

  2. Department of Pharmacy, Birla Institute of Technology And Science, Pilani (BITS Pilani), Pilani, Rajasthan, 333031, India

    Anshul Sharma

  3. Department of Pharmaceutics, Amity Institute of Pharmacy, Amity University, Uttar Pradesh, Sector-125, Noida, 201303, India

    Nitin Sharma

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  1. Anshul Sharma
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  2. Nitin Sharma
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  4. Richa Pal
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Correspondence to Nitin Sharma .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Jamia Millia Islamia, New Delhi, Delhi, India

    Khalid Raza

  2. Department of Pharmacology, All India Institute of Medical Sciences, New Delhi, Delhi, India

    Surender Singh

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Sharma, A., Sharma, N., Arora, A., Pal, R. (2024). The Emerging Applications of Machine Learning in the Diagnosis of Multiple Sclerosis. In: Raza, K., Singh, S. (eds) Artificial Intelligence and Autoimmune Diseases. Studies in Computational Intelligence, vol 1133. Springer, Singapore. https://doi.org/10.1007/978-981-99-9029-0_6

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