Predicting the Intention to Use Generative Artificial Intelligence for Health Information: Comparative Survey Study.

Matthes J, Reinhardt A, Hodzic S, Kaňková J, Binder A, Bojic L, Maindal HT, Paraschiv C, Ryom K

Open source

DOI: 10.2196/75648
Published: 2026 Jan 28
Container: Journal of medical Internet research
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.2196/75648,
  title = {Predicting the Intention to Use Generative Artificial Intelligence for Health Information: Comparative Survey Study.},
  author = {Matthes J and Reinhardt A and Hodzic S and Kaňková J and Binder A and Bojic L and Maindal HT and Paraschiv C and Ryom K},
  year = {2026},
  journal = {Journal of medical Internet research},
  doi = {10.2196/75648},
  url = {https://doi.org/10.2196/75648}
}

RIS

TY  - JOUR
TI  - Predicting the Intention to Use Generative Artificial Intelligence for Health Information: Comparative Survey Study.
AU  - Matthes J
AU  - Reinhardt A
AU  - Hodzic S
AU  - Kaňková J
AU  - Binder A
AU  - Bojic L
AU  - Maindal HT
AU  - Paraschiv C
AU  - Ryom K
PY  - 2026
JO  - Journal of medical Internet research
DO  - 10.2196/75648
UR  - https://doi.org/10.2196/75648
ER  -

APA

J, M., A, R., S, H., J, K., A, B., L, B., HT, M., C, P., & K, R. (2026). Predicting the Intention to Use Generative Artificial Intelligence for Health Information: Comparative Survey Study.. Journal of medical Internet research. https://doi.org/10.2196/75648

Source records

pubmed · retrieved 2026-09-27T01:09:13.580Z
europe-pmc · retrieved 2026-09-27T01:09:13.592Z
doaj · retrieved 2026-09-27T01:09:13.591Z