Integration of multimodal large language models into point-of-care ultrasound documentation: A pilot study
- DOI
- 10.1016/j.ajem.2026.11.001
- Published
- 2027-01
- Container
- The American Journal of Emergency Medicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ajem.2026.11.001,
title = {Integration of multimodal large language models into point-of-care ultrasound documentation: A pilot study},
author = {Zachary Boivin and Elias Jaffa and Irini Agaraj and Michael Danta and Gee Yoon Park and Rachel B. Liu and Christopher L. Moore and Cristiana Baloescu},
year = {2027},
journal = {The American Journal of Emergency Medicine},
doi = {10.1016/j.ajem.2026.11.001},
url = {https://doi.org/10.1016/j.ajem.2026.11.001}
}RIS
TY - JOUR TI - Integration of multimodal large language models into point-of-care ultrasound documentation: A pilot study AU - Zachary Boivin AU - Elias Jaffa AU - Irini Agaraj AU - Michael Danta AU - Gee Yoon Park AU - Rachel B. Liu AU - Christopher L. Moore AU - Cristiana Baloescu PY - 2027 JO - The American Journal of Emergency Medicine DO - 10.1016/j.ajem.2026.11.001 UR - https://doi.org/10.1016/j.ajem.2026.11.001 ER -
APA
Boivin, Z., Jaffa, E., Agaraj, I., Danta, M., Park, G. Y., Liu, R. B., Moore, C. L., & Baloescu, C. (2027). Integration of multimodal large language models into point-of-care ultrasound documentation: A pilot study. The American Journal of Emergency Medicine. https://doi.org/10.1016/j.ajem.2026.11.001
Source records
- crossref · retrieved 2026-11-10T12:21:35.318Z