Exploring sociodemographic disparities in AI use for health: findings from a nationally representative study in Mainland China

Tianen Chen, Mulin Jiang, Fengbin Hu, Fei Shen

Open source

DOI: 10.1093/tbm/ibag068
Published: 2026
Container: Translational Behavioral Medicine
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/tbm/ibag068,
  title = {Exploring sociodemographic disparities in AI use for health: findings from a nationally representative study in Mainland China},
  author = {Tianen Chen and Mulin Jiang and Fengbin Hu and Fei Shen},
  year = {2026},
  journal = {Translational Behavioral Medicine},
  doi = {10.1093/tbm/ibag068},
  url = {https://doi.org/10.1093/tbm/ibag068}
}

RIS

TY  - JOUR
TI  - Exploring sociodemographic disparities in AI use for health: findings from a nationally representative study in Mainland China
AU  - Tianen Chen
AU  - Mulin Jiang
AU  - Fengbin Hu
AU  - Fei Shen
PY  - 2026
JO  - Translational Behavioral Medicine
DO  - 10.1093/tbm/ibag068
UR  - https://doi.org/10.1093/tbm/ibag068
ER  -

APA

Chen, T., Jiang, M., Hu, F., & Shen, F. (2026). Exploring sociodemographic disparities in AI use for health: findings from a nationally representative study in Mainland China. Translational Behavioral Medicine. https://doi.org/10.1093/tbm/ibag068

Source records

crossref · retrieved 2026-11-10T11:43:32.320Z