Related Experiment Video
Updated: Oct 18, 2026
Artificial Intelligence Approaches to Assessing Primary Cilia
Published on: May 1, 2021
Artificial intelligence (AI) and the choroidal challenge: A comprehensive review of AI applications in choroidal
Oscar Matteo Gagliardi1, Jay Chhablani2, Marco Lupidi3
1Department of Sense Organs, Medicine and Dentistry Faculty, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; Department of Ophthalmology, UPMC Eye Center, University of Pittsburgh, 15129 Pittsburgh, PA, USA.
Abstract:
The choroid is a densely vascular layer that sustains the outer retina and may reflect systemic microvascular health. With the advent of new imaging techniques, choroidal imaging has become increasingly detailed, generating vast data volumes. Conventional analytic tools often fall short in managing these high-dimensional datasets. Artificial intelligence (AI) automatically enhances, segments, and analyzes choroidal images, facilitating the discovery of choroidal biomarkers relevant to ocular and systemic disease. Yet, anatomical complexity, heterogeneous protocols, and a lack of large, annotated datasets hinder AI adoption. Overcoming these barriers is essential to assess AI-derived choroidal biomarkers as reliable diagnostic and prognostic tools.