Evaluation of minor labial salivary gland focus score in Sjögren's disease using deep learning: a tool for more efficient diagnosis and future tissue biomarker discovery
Artificial intelligence models may overcome the intra-observer biases and inter-observer variability in FS evaluation, reinforcing the diagnosis and biomarker discovery in SjD.
Authors
- Athanasios G. Tzioufas (ORCID: https://orcid.org/0000-0001-6666-8642)
- Clio P. Mavragani (ORCID: https://orcid.org/0000-0002-8214-7406)
- Andreas V. Goules (ORCID: https://orcid.org/0000-0003-4343-0396)
- Nikos Tsiknakis (ORCID: https://orcid.org/0000-0002-7581-467X)
- Dimitrios I. Fotiadis (ORCID: https://orcid.org/0000-0002-7362-5082)
- Dimitrios I. Zaridis (ORCID: https://orcid.org/0000-0003-2549-3887)
- Konstantinos N Panagiotopoulos
Institutions
- National and Kapodistrian University of Athens (GR)
- Academy of Athens (GR)
- Biomedical Research Foundation of the Academy of Athens (GR)
- National Agricultural Research Foundation (GR)
- Foundation for Research and Technology Hellas (GR)
Publication Details
- Journal
- Journal of Autoimmunity
- Published
- 2025-04-21
- DOI
- https://doi.org/10.1016/j.jaut.2025.103418
- Citations
- 7
- Primary Topic
- Salivary Gland Disorders and Functions
- Type
- article
- Field-Weighted Citation Impact
- 8.15