How much can we save by applying artificial intelligence in evidence synthesis? Results from a pragmatic review to quantify workload efficiencies and cost savings

Seye Abogunrin, Jeffrey M. Muir, Clarissa Zerbini, Grammati Sarri

Open source

DOI
10.3389/fphar.2025.1454245
Published
2025-01-31
Container
Frontiers in Pharmacology
Publisher
Frontiers Media SA
Open access
unknown

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BibTeX

@article{allodium:10.3389/fphar.2025.1454245,
  title = {How much can we save by applying artificial intelligence in evidence synthesis? Results from a pragmatic review to quantify workload efficiencies and cost savings},
  author = {Seye Abogunrin and Jeffrey M. Muir and Clarissa Zerbini and Grammati Sarri},
  year = {2025},
  journal = {Frontiers in Pharmacology},
  doi = {10.3389/fphar.2025.1454245},
  url = {https://doi.org/10.3389/fphar.2025.1454245}
}

RIS

TY  - JOUR
TI  - How much can we save by applying artificial intelligence in evidence synthesis? Results from a pragmatic review to quantify workload efficiencies and cost savings
AU  - Seye Abogunrin
AU  - Jeffrey M. Muir
AU  - Clarissa Zerbini
AU  - Grammati Sarri
PY  - 2025
JO  - Frontiers in Pharmacology
DO  - 10.3389/fphar.2025.1454245
UR  - https://doi.org/10.3389/fphar.2025.1454245
ER  - 

APA

Abogunrin, S., Muir, J. M., Zerbini, C., & Sarri, G. (2025). How much can we save by applying artificial intelligence in evidence synthesis? Results from a pragmatic review to quantify workload efficiencies and cost savings. Frontiers in Pharmacology. https://doi.org/10.3389/fphar.2025.1454245

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