A Locally Executable AI System for Improving Preoperative Patient Communication: Multidomain Clinical Evaluation

Motoki Sato, Sou Nagata, Mizuho Ohnuma, Hidekazu Takahashi, Tomoaki Kakazu, Masayuki Yamamura, Atsushi Yoshikawa, Yuki Matsushita

Open source

DOI
10.2196/89173
Published
2026-07-21
Container
JMIR Medical Informatics
Publisher
JMIR Publications Inc.
Open access
unknown

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BibTeX

@article{allodium:10.2196/89173,
  title = {A Locally Executable AI System for Improving Preoperative Patient Communication: Multidomain Clinical Evaluation},
  author = {Motoki Sato and Sou Nagata and Mizuho Ohnuma and Hidekazu Takahashi and Tomoaki Kakazu and Masayuki Yamamura and Atsushi Yoshikawa and Yuki Matsushita},
  year = {2026},
  journal = {JMIR Medical Informatics},
  doi = {10.2196/89173},
  url = {https://doi.org/10.2196/89173}
}

RIS

TY  - JOUR
TI  - A Locally Executable AI System for Improving Preoperative Patient Communication: Multidomain Clinical Evaluation
AU  - Motoki Sato
AU  - Sou Nagata
AU  - Mizuho Ohnuma
AU  - Hidekazu Takahashi
AU  - Tomoaki Kakazu
AU  - Masayuki Yamamura
AU  - Atsushi Yoshikawa
AU  - Yuki Matsushita
PY  - 2026
JO  - JMIR Medical Informatics
DO  - 10.2196/89173
UR  - https://doi.org/10.2196/89173
ER  - 

APA

Sato, M., Nagata, S., Ohnuma, M., Takahashi, H., Kakazu, T., Yamamura, M., Yoshikawa, A., & Matsushita, Y. (2026). A Locally Executable AI System for Improving Preoperative Patient Communication: Multidomain Clinical Evaluation. JMIR Medical Informatics. https://doi.org/10.2196/89173

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