LMOD \(\boldsymbol{+}\) : A Comprehensive Multimodal Dataset and Benchmark for Developing and Evaluating Multimodal Large Language Models in Ophthalmology

Zhenyue Qin, Yang Liu, Yu Yin, Jinyu Ding, Haoran Zhang, Anran Li, Dylan Campbell, Xuansheng Wu, Ke Zou, Tiarnan D. L. Keenan, Emily Y. Chew, Zhiyong Lu, Yih Chung Tham, Ninghao Liu, Xiuzhen Zhang, Qingyu Chen

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DOI: 10.1145/3801746
Published: 2026-06-22
Container: ACM Transactions on Computing for Healthcare
Publisher: Association for Computing Machinery (ACM)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1145/3801746,
  title = {LMOD \textbackslash{}(\textbackslash{}boldsymbol\{+\}\textbackslash{}) : A Comprehensive Multimodal Dataset and Benchmark for Developing and Evaluating Multimodal Large Language Models in Ophthalmology},
  author = {Zhenyue Qin and Yang Liu and Yu Yin and Jinyu Ding and Haoran Zhang and Anran Li and Dylan Campbell and Xuansheng Wu and Ke Zou and Tiarnan D. L. Keenan and Emily Y. Chew and Zhiyong Lu and Yih Chung Tham and Ninghao Liu and Xiuzhen Zhang and Qingyu Chen},
  year = {2026},
  journal = {ACM Transactions on Computing for Healthcare},
  doi = {10.1145/3801746},
  url = {https://doi.org/10.1145/3801746}
}

RIS

TY  - JOUR
TI  - LMOD \(\boldsymbol{+}\) : A Comprehensive Multimodal Dataset and Benchmark for Developing and Evaluating Multimodal Large Language Models in Ophthalmology
AU  - Zhenyue Qin
AU  - Yang Liu
AU  - Yu Yin
AU  - Jinyu Ding
AU  - Haoran Zhang
AU  - Anran Li
AU  - Dylan Campbell
AU  - Xuansheng Wu
AU  - Ke Zou
AU  - Tiarnan D. L. Keenan
AU  - Emily Y. Chew
AU  - Zhiyong Lu
AU  - Yih Chung Tham
AU  - Ninghao Liu
AU  - Xiuzhen Zhang
AU  - Qingyu Chen
PY  - 2026
JO  - ACM Transactions on Computing for Healthcare
DO  - 10.1145/3801746
UR  - https://doi.org/10.1145/3801746
ER  -

APA

Qin, Z., Liu, Y., Yin, Y., Ding, J., Zhang, H., Li, A., Campbell, D., Wu, X., Zou, K., Keenan, T. D. L., Chew, E. Y., Lu, Z., Tham, Y. C., Liu, N., Zhang, X., & Chen, Q. (2026). LMOD \(\boldsymbol{+}\) : A Comprehensive Multimodal Dataset and Benchmark for Developing and Evaluating Multimodal Large Language Models in Ophthalmology. ACM Transactions on Computing for Healthcare. https://doi.org/10.1145/3801746

Source records

crossref · retrieved 2026-09-25T00:25:48.357Z