Artificial intelligence meets continuous glucose monitoring data: Genie in the bottle.

Lu J, Zhang Z, Wang Y, Cai J, Yu X, Zong G, Zhou J

Open source

DOI
10.1097/cm9.0000000000004229
Published
2026 Sep 14
Container
Chinese medical journal
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.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1097/cm9.0000000000004229,
  title = {Artificial intelligence meets continuous glucose monitoring data: Genie in the bottle.},
  author = {Lu J and Zhang Z and Wang Y and Cai J and Yu X and Zong G and Zhou J},
  year = {2026},
  journal = {Chinese medical journal},
  doi = {10.1097/cm9.0000000000004229},
  url = {https://doi.org/10.1097/cm9.0000000000004229}
}

RIS

TY  - JOUR
TI  - Artificial intelligence meets continuous glucose monitoring data: Genie in the bottle.
AU  - Lu J
AU  - Zhang Z
AU  - Wang Y
AU  - Cai J
AU  - Yu X
AU  - Zong G
AU  - Zhou J
PY  - 2026
JO  - Chinese medical journal
DO  - 10.1097/cm9.0000000000004229
UR  - https://doi.org/10.1097/cm9.0000000000004229
ER  - 

APA

J, L., Z, Z., Y, W., J, C., X, Y., G, Z., & J, Z. (2026). Artificial intelligence meets continuous glucose monitoring data: Genie in the bottle.. Chinese medical journal. https://doi.org/10.1097/cm9.0000000000004229

Source records