Predicting multiple sclerosis prognosis using AI and machine learning: integrating clinical, immunological, and radiological variables.

Al-Shammri S, Özdil A, Aboukoura A, Azizieh F, Yilmaz B, Raghupathy R

DOI: 10.3389/fneur.2025.1712953
Published: 2025
Container: Frontiers in neurology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fneur.2025.1712953,
  title = {Predicting multiple sclerosis prognosis using AI and machine learning: integrating clinical, immunological, and radiological variables.},
  author = {Al-Shammri S and Özdil A and Aboukoura A and Azizieh F and Yilmaz B and Raghupathy R},
  year = {2025},
  journal = {Frontiers in neurology},
  doi = {10.3389/fneur.2025.1712953},
  url = {https://doi.org/10.3389/fneur.2025.1712953}
}

RIS

TY  - JOUR
TI  - Predicting multiple sclerosis prognosis using AI and machine learning: integrating clinical, immunological, and radiological variables.
AU  - Al-Shammri S
AU  - Özdil A
AU  - Aboukoura A
AU  - Azizieh F
AU  - Yilmaz B
AU  - Raghupathy R
PY  - 2025
JO  - Frontiers in neurology
DO  - 10.3389/fneur.2025.1712953
UR  - https://doi.org/10.3389/fneur.2025.1712953
ER  -

APA

S, A., A, Ö., A, A., F, A., B, Y., & R, R. (2025). Predicting multiple sclerosis prognosis using AI and machine learning: integrating clinical, immunological, and radiological variables.. Frontiers in neurology. https://doi.org/10.3389/fneur.2025.1712953

Source records

pubmed · retrieved 2026-09-25T23:53:23.816Z