Advancing Optical Coherence Tomography Diagnostic Capabilities: Machine Learning Approaches to Detect Autoimmune Inflammatory Diseases
ML models are useful for distinguishing between autoimmune inflammatory diseases and for distinguishing these from HCs and other ocular diseases based on OCT measures. This study lays the groundwork for future deep learning studies that use analyses of raw OCT images for identifying eyes of patients with such disorders and other etiologies of optic neuropathy.
Authors
- Scott N. Grossman (ORCID: https://orcid.org/0000-0001-7033-5226)
- Laura J. Balcer (ORCID: https://orcid.org/0000-0002-5136-4539)
- Steven Galetta (ORCID: https://orcid.org/0000-0003-3781-7324)
- Rachel Kenney (ORCID: https://orcid.org/0000-0003-1311-5520)
- Lekha Pandit (ORCID: https://orcid.org/0000-0002-2269-5312)
- Kurt G. Schilling (ORCID: https://orcid.org/0000-0003-3686-7645)
- Friedemann Paul (ORCID: https://orcid.org/0000-0002-6378-0070)
- Frederike Cosima Oertel (ORCID: https://orcid.org/0000-0003-4906-5983)
- Adam Cunha
- Thomas A. Flagiello
- Suhan Alva
Institutions
- K S Hegde Medical Academy (IN)
Publication Details
- Journal
- Journal of Neuro-Ophthalmology
- Published
- 2025-02-06
- DOI
- https://doi.org/10.1097/wno.0000000000002322
- Citations
- 1
- Primary Topic
- Systemic Lupus Erythematosus Research
- Type
- article
- Field-Weighted Citation Impact
- 1.67