Assessing the scientific quality of artificial intelligence generated graphical abstracts in respiratory medicine: an expert-based multicentre pilot study.
- DOI
- 10.1080/17453054.2026.2725547
- Published
- 2026 Sep 1
- Container
- Journal of visual communication in medicine
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1080/17453054.2026.2725547,
title = {Assessing the scientific quality of artificial intelligence generated graphical abstracts in respiratory medicine: an expert-based multicentre pilot study.},
author = {Kchaou K and Rebay S and Mokaddem S and Sayhi A and Guezguez F and Triki L and Kammoun R and Ouahchi Y and Ben Saad H},
year = {2026},
journal = {Journal of visual communication in medicine},
doi = {10.1080/17453054.2026.2725547},
url = {https://doi.org/10.1080/17453054.2026.2725547}
}RIS
TY - JOUR TI - Assessing the scientific quality of artificial intelligence generated graphical abstracts in respiratory medicine: an expert-based multicentre pilot study. AU - Kchaou K AU - Rebay S AU - Mokaddem S AU - Sayhi A AU - Guezguez F AU - Triki L AU - Kammoun R AU - Ouahchi Y AU - Ben Saad H PY - 2026 JO - Journal of visual communication in medicine DO - 10.1080/17453054.2026.2725547 UR - https://doi.org/10.1080/17453054.2026.2725547 ER -
APA
K, K., S, R., S, M., A, S., F, G., L, T., R, K., Y, O., & H, B. S. (2026). Assessing the scientific quality of artificial intelligence generated graphical abstracts in respiratory medicine: an expert-based multicentre pilot study.. Journal of visual communication in medicine. https://doi.org/10.1080/17453054.2026.2725547
Source records
- pubmed · retrieved 2026-09-25T15:02:33.442Z