Artificial intelligence in obesity management: clinical evidence, translational gaps, and implementation priorities-a structured narrative review.

Liu W, Zhao J, Zhang D, Dang C, Lu Y, Du X

Open source

DOI
10.3389/fendo.2026.1955223
Published
2026
Container
Frontiers in endocrinology
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3389/fendo.2026.1955223,
  title = {Artificial intelligence in obesity management: clinical evidence, translational gaps, and implementation priorities-a structured narrative review.},
  author = {Liu W and Zhao J and Zhang D and Dang C and Lu Y and Du X},
  year = {2026},
  journal = {Frontiers in endocrinology},
  doi = {10.3389/fendo.2026.1955223},
  url = {https://doi.org/10.3389/fendo.2026.1955223}
}

RIS

TY  - JOUR
TI  - Artificial intelligence in obesity management: clinical evidence, translational gaps, and implementation priorities-a structured narrative review.
AU  - Liu W
AU  - Zhao J
AU  - Zhang D
AU  - Dang C
AU  - Lu Y
AU  - Du X
PY  - 2026
JO  - Frontiers in endocrinology
DO  - 10.3389/fendo.2026.1955223
UR  - https://doi.org/10.3389/fendo.2026.1955223
ER  - 

APA

W, L., J, Z., D, Z., C, D., Y, L., & X, D. (2026). Artificial intelligence in obesity management: clinical evidence, translational gaps, and implementation priorities-a structured narrative review.. Frontiers in endocrinology. https://doi.org/10.3389/fendo.2026.1955223

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