Comparative Evaluation of Five Multimodal Large Language Models for Medical Laboratory Image Recognition: Impact of Prompting Strategies on Diagnostic Accuracy.
- DOI
- 10.3390/diagnostics16091258
- Published
- 2026-04-22
- Container
- Diagnostics (Basel)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/diagnostics16091258,
title = {Comparative Evaluation of Five Multimodal Large Language Models for Medical Laboratory Image Recognition: Impact of Prompting Strategies on Diagnostic Accuracy.},
author = {Yang HR and Lin KY and Lin PC and Tsai JJ and Chen PC.},
year = {2026},
journal = {Diagnostics (Basel)},
doi = {10.3390/diagnostics16091258},
url = {https://doi.org/10.3390/diagnostics16091258}
}RIS
TY - JOUR TI - Comparative Evaluation of Five Multimodal Large Language Models for Medical Laboratory Image Recognition: Impact of Prompting Strategies on Diagnostic Accuracy. AU - Yang HR AU - Lin KY AU - Lin PC AU - Tsai JJ AU - Chen PC. PY - 2026 JO - Diagnostics (Basel) DO - 10.3390/diagnostics16091258 UR - https://doi.org/10.3390/diagnostics16091258 ER -
APA
HR, Y., KY, L., PC, L., JJ, T., & PC., C. (2026). Comparative Evaluation of Five Multimodal Large Language Models for Medical Laboratory Image Recognition: Impact of Prompting Strategies on Diagnostic Accuracy.. Diagnostics (Basel). https://doi.org/10.3390/diagnostics16091258
Source records
- europe-pmc · retrieved 2026-09-26T17:00:08.059Z
- doaj · retrieved 2026-09-26T17:00:08.062Z