Diagnostic Performance of a Locally Deployed Vision Language Model for Bone Tumor Diagnosis Using Smartphone-Captured Images: Exploratory Retrospective Study

Yin Shi, Zhi-Chao Tong

Open source

DOI
10.2196/99757
Published
2026-09-21
Container
JMIR AI
Publisher
JMIR Publications Inc.
Open access
unknown

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BibTeX

@article{allodium:10.2196/99757,
  title = {Diagnostic Performance of a Locally Deployed Vision Language Model for Bone Tumor Diagnosis Using Smartphone-Captured Images: Exploratory Retrospective Study},
  author = {Yin Shi and Zhi-Chao Tong},
  year = {2026},
  journal = {JMIR AI},
  doi = {10.2196/99757},
  url = {https://doi.org/10.2196/99757}
}

RIS

TY  - JOUR
TI  - Diagnostic Performance of a Locally Deployed Vision Language Model for Bone Tumor Diagnosis Using Smartphone-Captured Images: Exploratory Retrospective Study
AU  - Yin Shi
AU  - Zhi-Chao Tong
PY  - 2026
JO  - JMIR AI
DO  - 10.2196/99757
UR  - https://doi.org/10.2196/99757
ER  - 

APA

Shi, Y., & Tong, Z. (2026). Diagnostic Performance of a Locally Deployed Vision Language Model for Bone Tumor Diagnosis Using Smartphone-Captured Images: Exploratory Retrospective Study. JMIR AI. https://doi.org/10.2196/99757

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