Recent trends in diabetes mellitus diagnosis: an in-depth review of artificial intelligence-based techniques.

Khalid S, Kim H, Kim HS

DOI: 10.1016/j.diabres.2025.112221
Published: 2025 Jun
Container: Diabetes research and clinical practice
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.diabres.2025.112221,
  title = {Recent trends in diabetes mellitus diagnosis: an in-depth review of artificial intelligence-based techniques.},
  author = {Khalid S and Kim H and Kim HS},
  year = {2025},
  journal = {Diabetes research and clinical practice},
  doi = {10.1016/j.diabres.2025.112221},
  url = {https://doi.org/10.1016/j.diabres.2025.112221}
}

RIS

TY  - JOUR
TI  - Recent trends in diabetes mellitus diagnosis: an in-depth review of artificial intelligence-based techniques.
AU  - Khalid S
AU  - Kim H
AU  - Kim HS
PY  - 2025
JO  - Diabetes research and clinical practice
DO  - 10.1016/j.diabres.2025.112221
UR  - https://doi.org/10.1016/j.diabres.2025.112221
ER  -

APA

S, K., H, K., & HS, K. (2025). Recent trends in diabetes mellitus diagnosis: an in-depth review of artificial intelligence-based techniques.. Diabetes research and clinical practice. https://doi.org/10.1016/j.diabres.2025.112221

Source records

pubmed · retrieved 2026-09-26T14:56:47.819Z