Strategies for integrating artificial intelligence and cognitive assessment to predict disability progression in relapsing-remitting multiple sclerosis: A model development study.
- DOI
- 10.1371/journal.pdig.0001722
- Published
- 2026 Sep
- Container
- PLOS digital health
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pdig.0001722,
title = {Strategies for integrating artificial intelligence and cognitive assessment to predict disability progression in relapsing-remitting multiple sclerosis: A model development study.},
author = {Zhu C and Zhang X and van der Walt A and Taylor B and Monif M and Kalincik T and Lechner-Scott J and Buzzard K and Kilpatrick T and Barnett M and Zhou Z and Jokubaitis V and Gresle M and Darby D and Mehta D and Ge Z and Butzkueven H and Merlo D},
year = {2026},
journal = {PLOS digital health},
doi = {10.1371/journal.pdig.0001722},
url = {https://doi.org/10.1371/journal.pdig.0001722}
}RIS
TY - JOUR TI - Strategies for integrating artificial intelligence and cognitive assessment to predict disability progression in relapsing-remitting multiple sclerosis: A model development study. AU - Zhu C AU - Zhang X AU - van der Walt A AU - Taylor B AU - Monif M AU - Kalincik T AU - Lechner-Scott J AU - Buzzard K AU - Kilpatrick T AU - Barnett M AU - Zhou Z AU - Jokubaitis V AU - Gresle M AU - Darby D AU - Mehta D AU - Ge Z AU - Butzkueven H AU - Merlo D PY - 2026 JO - PLOS digital health DO - 10.1371/journal.pdig.0001722 UR - https://doi.org/10.1371/journal.pdig.0001722 ER -
APA
C, Z., X, Z., A, V. D. W., B, T., M, M., T, K., J, L., K, B., T, K., M, B., Z, Z., V, J., M, G., D, D., D, M., Z, G., H, B., & D, M. (2026). Strategies for integrating artificial intelligence and cognitive assessment to predict disability progression in relapsing-remitting multiple sclerosis: A model development study.. PLOS digital health. https://doi.org/10.1371/journal.pdig.0001722
Source records
- pubmed · retrieved 2026-09-26T00:50:13.959Z