Re: Most et al: Can Multimodal Large Language Models Diagnose Diabetic Retinopathy from Fundus Photos? A Quantitative Evaluation.
- DOI
- 10.1016/j.xops.2026.101063
- Published
- 2026 Mar
- Container
- Ophthalmology science
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.xops.2026.101063,
title = {Re: Most et al: Can Multimodal Large Language Models Diagnose Diabetic Retinopathy from Fundus Photos? A Quantitative Evaluation.},
author = {Loss Henriques L and Barbosa Gracitelli CP and Zanetti FR and Leitão Guerra RL},
year = {2026},
journal = {Ophthalmology science},
doi = {10.1016/j.xops.2026.101063},
url = {https://doi.org/10.1016/j.xops.2026.101063}
}RIS
TY - JOUR TI - Re: Most et al: Can Multimodal Large Language Models Diagnose Diabetic Retinopathy from Fundus Photos? A Quantitative Evaluation. AU - Loss Henriques L AU - Barbosa Gracitelli CP AU - Zanetti FR AU - Leitão Guerra RL PY - 2026 JO - Ophthalmology science DO - 10.1016/j.xops.2026.101063 UR - https://doi.org/10.1016/j.xops.2026.101063 ER -
APA
L, L. H., CP, B. G., FR, Z., & RL, L. G. (2026). Re: Most et al: Can Multimodal Large Language Models Diagnose Diabetic Retinopathy from Fundus Photos? A Quantitative Evaluation.. Ophthalmology science. https://doi.org/10.1016/j.xops.2026.101063
Source records
- pubmed · retrieved 2026-09-26T21:01:16.419Z