Diagnostic Performance of a Locally Deployed Vision Language Model for Bone Tumor Diagnosis Using Smartphone-Captured Images: Exploratory Retrospective Study
- DOI
- 10.2196/99757
- Published
- 2026-09-21
- Container
- JMIR AI
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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Cite this work
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
Source records
- crossref · retrieved 2026-09-24T20:25:46.816Z