An autonomous multimodal AI agent for evidence-grounded ophthalmic diagnosis.
- DOI
- 10.1016/j.xcrm.2026.102969
- Published
- 2026 Aug 18
- Container
- Cell reports. Medicine
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 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:10.1016/j.xcrm.2026.102969,
title = {An autonomous multimodal AI agent for evidence-grounded ophthalmic diagnosis.},
author = {Zhao K and Sun Q and Kang D and Yu T and Han W and Yao R and Agrawal R and Ying GS and Grzybowski A and Jin K},
year = {2026},
journal = {Cell reports. Medicine},
doi = {10.1016/j.xcrm.2026.102969},
url = {https://doi.org/10.1016/j.xcrm.2026.102969}
}RIS
TY - JOUR TI - An autonomous multimodal AI agent for evidence-grounded ophthalmic diagnosis. AU - Zhao K AU - Sun Q AU - Kang D AU - Yu T AU - Han W AU - Yao R AU - Agrawal R AU - Ying GS AU - Grzybowski A AU - Jin K PY - 2026 JO - Cell reports. Medicine DO - 10.1016/j.xcrm.2026.102969 UR - https://doi.org/10.1016/j.xcrm.2026.102969 ER -
APA
K, Z., Q, S., D, K., T, Y., W, H., R, Y., R, A., GS, Y., A, G., & K, J. (2026). An autonomous multimodal AI agent for evidence-grounded ophthalmic diagnosis.. Cell reports. Medicine. https://doi.org/10.1016/j.xcrm.2026.102969
Source records
- pubmed · retrieved 2026-09-25T19:33:44.360Z