Computational intelligence using nailfold videocapillaroscopy for the prediction of carotid intima-media thickness in rheumatoid arthritis: a cohort-based study

Danial J. Armaghani, Elena Angeloudi, Amir H. Gandomi, Panagiota Anyfanti, Eleni Gavriilaki, Stergios Soulaidopoulos, Eleni Pagkopoulou, Michael Doumas, George D. Kitas, Ahmed G. Gad, Sanjog Chhetri Sapkota, Georgios A. Drosopoulos, Konstantina V. Leontari, Markos Z. Tsoukalas, Leonidas Triantafyllidis, Ahmed Salih Mohammed, Abidhan Bardhan, Pijush Samui, Gai-Ge Wang, Panagiotis G. Asteris, Theodoros Dimitroulas

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DOI: 10.1007/s00296-026-06227-9
Published: 2026-07-04
Container: Rheumatology International
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s00296-026-06227-9,
  title = {Computational intelligence using nailfold videocapillaroscopy for the prediction of carotid intima-media thickness in rheumatoid arthritis: a cohort-based study},
  author = {Danial J. Armaghani and Elena Angeloudi and Amir H. Gandomi and Panagiota Anyfanti and Eleni Gavriilaki and Stergios Soulaidopoulos and Eleni Pagkopoulou and Michael Doumas and George D. Kitas and Ahmed G. Gad and Sanjog Chhetri Sapkota and Georgios A. Drosopoulos and Konstantina V. Leontari and Markos Z. Tsoukalas and Leonidas Triantafyllidis and Ahmed Salih Mohammed and Abidhan Bardhan and Pijush Samui and Gai-Ge Wang and Panagiotis G. Asteris and Theodoros Dimitroulas},
  year = {2026},
  journal = {Rheumatology International},
  doi = {10.1007/s00296-026-06227-9},
  url = {https://doi.org/10.1007/s00296-026-06227-9}
}

RIS

TY  - JOUR
TI  - Computational intelligence using nailfold videocapillaroscopy for the prediction of carotid intima-media thickness in rheumatoid arthritis: a cohort-based study
AU  - Danial J. Armaghani
AU  - Elena Angeloudi
AU  - Amir H. Gandomi
AU  - Panagiota Anyfanti
AU  - Eleni Gavriilaki
AU  - Stergios Soulaidopoulos
AU  - Eleni Pagkopoulou
AU  - Michael Doumas
AU  - George D. Kitas
AU  - Ahmed G. Gad
AU  - Sanjog Chhetri Sapkota
AU  - Georgios A. Drosopoulos
AU  - Konstantina V. Leontari
AU  - Markos Z. Tsoukalas
AU  - Leonidas Triantafyllidis
AU  - Ahmed Salih Mohammed
AU  - Abidhan Bardhan
AU  - Pijush Samui
AU  - Gai-Ge Wang
AU  - Panagiotis G. Asteris
AU  - Theodoros Dimitroulas
PY  - 2026
JO  - Rheumatology International
DO  - 10.1007/s00296-026-06227-9
UR  - https://doi.org/10.1007/s00296-026-06227-9
ER  -

APA

Armaghani, D. J., Angeloudi, E., Gandomi, A. H., Anyfanti, P., Gavriilaki, E., Soulaidopoulos, S., Pagkopoulou, E., Doumas, M., Kitas, G. D., Gad, A. G., Sapkota, S. C., Drosopoulos, G. A., Leontari, K. V., Tsoukalas, M. Z., Triantafyllidis, L., Mohammed, A. S., Bardhan, A., Samui, P., Wang, G., Asteris, P. G., & Dimitroulas, T. (2026). Computational intelligence using nailfold videocapillaroscopy for the prediction of carotid intima-media thickness in rheumatoid arthritis: a cohort-based study. Rheumatology International. https://doi.org/10.1007/s00296-026-06227-9

Source records

crossref · retrieved 2026-09-25T01:08:55.690Z