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Peer-reviewedCC BY-NC-NDJAMA network open

Public Perceptions of Timeliness for AI Use and Human Oversight.

  • Natalie C Benda1
  • Uday Suresh2
  • Afra Shamnath1
  • Isabella Buitron3
  • Megan E Salwei2,4
  • Laurie Lovett Novak2
  • Xuhai Xu5
  • Meghan Reading Turchioe1
5 affiliations
  1. 1Columbia University School of Nursing, New York, New York.
  2. 2Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.
  3. 3Mailman School of Public Health, Columbia University, New York, New York.
  4. 4Center for Research and Innovation in Systems Safety, Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee.
  5. 5Department of Biomedical Informatics, Columbia University, New York, New York.
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Abstract

This cross-sectional study assesses perceptions on use of artificial intelligence (AI) for medical patient portal messaging and mental health support, with opinions stratified by birth generation.

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Cite

BibTeXRIS
BibTeX
@article{benda2026public,
  title = {{Public Perceptions of Timeliness for AI Use and Human Oversight.}},
  author = {Natalie C Benda and Uday Suresh and Afra Shamnath and Isabella Buitron and Megan E Salwei and Laurie Lovett Novak and Xuhai Xu and Meghan Reading Turchioe},
  journal = {JAMA network open},
  year = {2026},
  month = oct,
  doi = {10.1001/jamanetworkopen.2026.39048},
  url = {https://europepmc.org/article/MED/42873502},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Public Perceptions of Timeliness for AI Use and Human Oversight.
AU  - Natalie C Benda
AU  - Uday Suresh
AU  - Afra Shamnath
AU  - Isabella Buitron
AU  - Megan E Salwei
AU  - Laurie Lovett Novak
AU  - Xuhai Xu
AU  - Meghan Reading Turchioe
PY  - 2026
DA  - 2026/10/01
JO  - JAMA network open
DO  - 10.1001/jamanetworkopen.2026.39048
UR  - https://europepmc.org/article/MED/42873502
AB  - This cross-sectional study assesses perceptions on use of artificial intelligence (AI) for medical patient portal messaging and mental health support, with opinions stratified by birth generation.
SN  - 2574-3805
ER  -