Scleral image analysis via artificial intelligence to evaluate inflammatory status in inflammatory bowel disease.
- DOI
- 10.1007/s00384-026-05190-y
- Published
- 2026 Jul 7
- Container
- International journal of colorectal disease
- 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:10.1007/s00384-026-05190-y,
title = {Scleral image analysis via artificial intelligence to evaluate inflammatory status in inflammatory bowel disease.},
author = {Li Y and Huang P and Wang L and Chen S and Lian G and Li F and Liu X and Lu F and Yin Y},
year = {2026},
journal = {International journal of colorectal disease},
doi = {10.1007/s00384-026-05190-y},
url = {https://doi.org/10.1007/s00384-026-05190-y}
}RIS
TY - JOUR TI - Scleral image analysis via artificial intelligence to evaluate inflammatory status in inflammatory bowel disease. AU - Li Y AU - Huang P AU - Wang L AU - Chen S AU - Lian G AU - Li F AU - Liu X AU - Lu F AU - Yin Y PY - 2026 JO - International journal of colorectal disease DO - 10.1007/s00384-026-05190-y UR - https://doi.org/10.1007/s00384-026-05190-y ER -
APA
Y, L., P, H., L, W., S, C., G, L., F, L., X, L., F, L., & Y, Y. (2026). Scleral image analysis via artificial intelligence to evaluate inflammatory status in inflammatory bowel disease.. International journal of colorectal disease. https://doi.org/10.1007/s00384-026-05190-y
Source records
- pubmed · retrieved 2026-09-25T11:14:53.647Z