A bibliometric analysis of global trends in AI-driven digital health technologies for diabetes management.

Song J, Tao W, Zhou D, Li X, Peng S, Li C, Yuan J

DOI: 10.1097/md.0000000000049815
Published: 2026 Jul 24
Container: Medicine
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1097/md.0000000000049815,
  title = {A bibliometric analysis of global trends in AI-driven digital health technologies for diabetes management.},
  author = {Song J and Tao W and Zhou D and Li X and Peng S and Li C and Yuan J},
  year = {2026},
  journal = {Medicine},
  doi = {10.1097/md.0000000000049815},
  url = {https://doi.org/10.1097/md.0000000000049815}
}

RIS

TY  - JOUR
TI  - A bibliometric analysis of global trends in AI-driven digital health technologies for diabetes management.
AU  - Song J
AU  - Tao W
AU  - Zhou D
AU  - Li X
AU  - Peng S
AU  - Li C
AU  - Yuan J
PY  - 2026
JO  - Medicine
DO  - 10.1097/md.0000000000049815
UR  - https://doi.org/10.1097/md.0000000000049815
ER  -

APA

J, S., W, T., D, Z., X, L., S, P., C, L., & J, Y. (2026). A bibliometric analysis of global trends in AI-driven digital health technologies for diabetes management.. Medicine. https://doi.org/10.1097/md.0000000000049815

Source records

pubmed · retrieved 2026-09-26T03:11:43.683Z