Last Posted: Apr 17, 2024
- Artificial intelligence in multiple sclerosis management: Challenges in a new era.
Sebastián Rodríguez et al. Mult Scler Relat Disord 2024 86105611 - Validated, Quantitative, Machine Learning-Generated Neurologic Assessment of Multiple Sclerosis Using a Mobile Application.
Sharon Stoll et al. Int J MS Care 2024 26(2) 69-74 - Predicting multiple sclerosis severity with multimodal deep neural networks.
Kai Zhang et al. BMC Med Inform Decis Mak 2023 23(1) 255 - Exemplar MobileNetV2-Based Artificial Intelligence for Robust and Accurate Diagnosis of Multiple Sclerosis.
Tuba Ekmekyapar et al. Diagnostics (Basel) 2023 13(19) - Innovations in Multiple Sclerosis Care: The Impact of Artificial Intelligence via Machine Learning on Clinical Research and Decision-Making.
Jacob Cartwright et al. Int J MS Care 2023 25(5) 233-241 - Machine learning-optimized Combinatorial MRI scale (COMRISv2) correlates highly with cognitive and physical disability scales in Multiple Sclerosis patients.
Erin Kelly et al. Front Radiol 2023 21026442 - The familial risk and heritability of multiple sclerosis and its onset phenotypes: A case-control study.
Graysen Steele Boles et al. Mult Scler 2023 13524585231185258 - Predictive models of multiple sclerosis-related cognitive performance using routine clinical practice predictors.
Andrés Labiano-Fontcuberta et al. Mult Scler Relat Disord 2023 76104849 - Accounting for uncertainty in training data to improve machine learning performance in predicting new disease activity in early multiple sclerosis.
Maryam Tayyab et al. Front Neurol 2023 141165267 - Polygenic risk score prediction of multiple sclerosis in individuals of South Asian ancestry.
Joshua R Breedon et al. Brain communications 2023 5(2) fcad041
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