From subjective assessment to data-driven diagnosis: the AI revolution in multimodal early detection of Sjögren's disease.

Zhou Y, Yu B, Chang R, Ding Y, Wang Y, Han M

Open source

DOI
10.3389/fimmu.2026.1792331
Published
2026
Container
Frontiers in immunology
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3389/fimmu.2026.1792331,
  title = {From subjective assessment to data-driven diagnosis: the AI revolution in multimodal early detection of Sjögren's disease.},
  author = {Zhou Y and Yu B and Chang R and Ding Y and Wang Y and Han M},
  year = {2026},
  journal = {Frontiers in immunology},
  doi = {10.3389/fimmu.2026.1792331},
  url = {https://doi.org/10.3389/fimmu.2026.1792331}
}

RIS

TY  - JOUR
TI  - From subjective assessment to data-driven diagnosis: the AI revolution in multimodal early detection of Sjögren's disease.
AU  - Zhou Y
AU  - Yu B
AU  - Chang R
AU  - Ding Y
AU  - Wang Y
AU  - Han M
PY  - 2026
JO  - Frontiers in immunology
DO  - 10.3389/fimmu.2026.1792331
UR  - https://doi.org/10.3389/fimmu.2026.1792331
ER  - 

APA

Y, Z., B, Y., R, C., Y, D., Y, W., & M, H. (2026). From subjective assessment to data-driven diagnosis: the AI revolution in multimodal early detection of Sjögren's disease.. Frontiers in immunology. https://doi.org/10.3389/fimmu.2026.1792331

Source records