Artificial Intelligence and Target Trial Emulation: Toward Scalable and Credible Real-World Evidence.

Liu T, Wang Y

DOI: 10.1016/j.jclinepi.2026.112501
Published: 2026 Sep 9
Container: Journal of clinical epidemiology
Publisher: Not recorded
Open access: unknown

Credibility signals

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:10.1016/j.jclinepi.2026.112501,
  title = {Artificial Intelligence and Target Trial Emulation: Toward Scalable and Credible Real-World Evidence.},
  author = {Liu T and Wang Y},
  year = {2026},
  journal = {Journal of clinical epidemiology},
  doi = {10.1016/j.jclinepi.2026.112501},
  url = {https://doi.org/10.1016/j.jclinepi.2026.112501}
}

RIS

TY  - JOUR
TI  - Artificial Intelligence and Target Trial Emulation: Toward Scalable and Credible Real-World Evidence.
AU  - Liu T
AU  - Wang Y
PY  - 2026
JO  - Journal of clinical epidemiology
DO  - 10.1016/j.jclinepi.2026.112501
UR  - https://doi.org/10.1016/j.jclinepi.2026.112501
ER  -

APA

T, L., & Y, W. (2026). Artificial Intelligence and Target Trial Emulation: Toward Scalable and Credible Real-World Evidence.. Journal of clinical epidemiology. https://doi.org/10.1016/j.jclinepi.2026.112501

Source records

pubmed · retrieved 2026-09-25T22:12:06.215Z