Performance of large language models and prompt engineering strategies for data extraction in systematic reviews.

Oami T, Okada Y, Maeda K, Nakada TA

DOI: 10.3389/fdgth.2026.1799623
Published: 2026
Container: Frontiers in digital health
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fdgth.2026.1799623,
  title = {Performance of large language models and prompt engineering strategies for data extraction in systematic reviews.},
  author = {Oami T and Okada Y and Maeda K and Nakada TA},
  year = {2026},
  journal = {Frontiers in digital health},
  doi = {10.3389/fdgth.2026.1799623},
  url = {https://doi.org/10.3389/fdgth.2026.1799623}
}

RIS

TY  - JOUR
TI  - Performance of large language models and prompt engineering strategies for data extraction in systematic reviews.
AU  - Oami T
AU  - Okada Y
AU  - Maeda K
AU  - Nakada TA
PY  - 2026
JO  - Frontiers in digital health
DO  - 10.3389/fdgth.2026.1799623
UR  - https://doi.org/10.3389/fdgth.2026.1799623
ER  -

APA

T, O., Y, O., K, M., & TA, N. (2026). Performance of large language models and prompt engineering strategies for data extraction in systematic reviews.. Frontiers in digital health. https://doi.org/10.3389/fdgth.2026.1799623

Source records

pubmed · retrieved 2026-09-25T19:36:02.711Z