Benchmarking Zero-Shot Generative Pre-Trained Transformer-Based Multimodal Large Language Models for Pressure Injury Staging

Toshiaki Takahashi, Kengo Miyo, Nao Tamai

Open source

DOI
10.1177/21621918261465916
Published
2026-07-03
Container
Advances in Wound Care
Publisher
SAGE Publications
Open access
unknown

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BibTeX

@article{allodium:10.1177/21621918261465916,
  title = {Benchmarking Zero-Shot Generative Pre-Trained Transformer-Based Multimodal Large Language Models for Pressure Injury Staging},
  author = {Toshiaki Takahashi and Kengo Miyo and Nao Tamai},
  year = {2026},
  journal = {Advances in Wound Care},
  doi = {10.1177/21621918261465916},
  url = {https://doi.org/10.1177/21621918261465916}
}

RIS

TY  - JOUR
TI  - Benchmarking Zero-Shot Generative Pre-Trained Transformer-Based Multimodal Large Language Models for Pressure Injury Staging
AU  - Toshiaki Takahashi
AU  - Kengo Miyo
AU  - Nao Tamai
PY  - 2026
JO  - Advances in Wound Care
DO  - 10.1177/21621918261465916
UR  - https://doi.org/10.1177/21621918261465916
ER  - 

APA

Takahashi, T., Miyo, K., & Tamai, N. (2026). Benchmarking Zero-Shot Generative Pre-Trained Transformer-Based Multimodal Large Language Models for Pressure Injury Staging. Advances in Wound Care. https://doi.org/10.1177/21621918261465916

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