Artificial intelligence in ultrasound-guided regional anesthesia: bridging the gap between potential and practice: a narrative review

Yumin Jo, Sujin Baek, Donghyeon Baek, Chahyun Oh, Dongheon Lee, Boohwi Hong

Open source

DOI: 10.17085/apm.25354
Published: 2025-10-31
Container: Anesthesia and Pain Medicine
Publisher: The Korean Society of Anesthesiologists
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.17085/apm.25354,
  title = {Artificial intelligence in ultrasound-guided regional anesthesia: bridging the gap between potential and practice: a narrative review},
  author = {Yumin Jo and Sujin Baek and Donghyeon Baek and Chahyun Oh and Dongheon Lee and Boohwi Hong},
  year = {2025},
  journal = {Anesthesia and Pain Medicine},
  doi = {10.17085/apm.25354},
  url = {https://doi.org/10.17085/apm.25354}
}

RIS

TY  - JOUR
TI  - Artificial intelligence in ultrasound-guided regional anesthesia: bridging the gap between potential and practice: a narrative review
AU  - Yumin Jo
AU  - Sujin Baek
AU  - Donghyeon Baek
AU  - Chahyun Oh
AU  - Dongheon Lee
AU  - Boohwi Hong
PY  - 2025
JO  - Anesthesia and Pain Medicine
DO  - 10.17085/apm.25354
UR  - https://doi.org/10.17085/apm.25354
ER  -

APA

Jo, Y., Baek, S., Baek, D., Oh, C., Lee, D., & Hong, B. (2025). Artificial intelligence in ultrasound-guided regional anesthesia: bridging the gap between potential and practice: a narrative review. Anesthesia and Pain Medicine. https://doi.org/10.17085/apm.25354

Source records

crossref · retrieved 2026-09-26T11:38:12.284Z