[Application of neural networks for improving the methods of assessment of corneal nerve fibers (preliminary report)].
Journal:
Vestnik oftalmologii
PMID:
40353549
Abstract
UNLABELLED: Processing large datasets using artificial intelligence is a promising approach in disease diagnosis and monitoring that focuses on improving research algorithms for existing technologies. Interest in studying corneal nerve fibers (CNFs) arises not only from the need to understand the pathogenesis and progression of various ocular diseases but also from the potential for thin, unmyelinated corneal nerves to be used as biomarkers for systemic polyneuropathies.