Evaluation of generative artificial intelligence in producing anatomically distinct lipedema subtypes: A diagnostic accuracy study.

Özbek IC, Alyanak B, Dede BT, Temel MH, Yıldızgören MT, Bağcıer F.

DOI: 10.1177/02683555261467340
Published: 2026-07-02
Container: Phlebology
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1177/02683555261467340,
  title = {Evaluation of generative artificial intelligence in producing anatomically distinct lipedema subtypes: A diagnostic accuracy study.},
  author = {Özbek IC and  Alyanak B and  Dede BT and  Temel MH and  Yıldızgören MT and  Bağcıer F.},
  year = {2026},
  journal = {Phlebology},
  doi = {10.1177/02683555261467340},
  url = {https://doi.org/10.1177/02683555261467340}
}

RIS

TY  - JOUR
TI  - Evaluation of generative artificial intelligence in producing anatomically distinct lipedema subtypes: A diagnostic accuracy study.
AU  - Özbek IC
AU  -  Alyanak B
AU  -  Dede BT
AU  -  Temel MH
AU  -  Yıldızgören MT
AU  -  Bağcıer F.
PY  - 2026
JO  - Phlebology
DO  - 10.1177/02683555261467340
UR  - https://doi.org/10.1177/02683555261467340
ER  -

APA

IC, Ö., B, A., BT, D., MH, T., MT, Y., & F., B. (2026). Evaluation of generative artificial intelligence in producing anatomically distinct lipedema subtypes: A diagnostic accuracy study.. Phlebology. https://doi.org/10.1177/02683555261467340

Source records

europe-pmc · retrieved 2026-09-27T04:03:17.431Z