This multi-site precision study evaluated the performance and reproducibility of the CLAiR artificial intelligence (AI) software in identifying elevated risk of atherosclerotic cardiovascular disease (ASCVD) from retinal fundus images. Participants underwent protocol-defined retinal imaging using Topcon NW400 and NW500 cameras. The study assessed agreement and consistency of device outputs across operators and imaging conditions. No medical management decisions were made based on device results.
This prospective, multi-site precision study was designed to evaluate the analytical performance and reproducibility of the CLAiR AI software, a software as a medical device (SaMD) intended to identify individuals with elevated risk of atherosclerotic cardiovascular disease (ASCVD) using retinal fundus images. Participants were enrolled at U.S. clinical sites and underwent protocol-defined retinal imaging procedures using Topcon NW400 and NW500 non-mydriatic fundus cameras. Imaging was performed under controlled conditions, including predefined operator sequencing and repeated image acquisition, to assess reproducibility across operators and devices. The primary objective was to evaluate agreement of device outputs across repeated imaging sessions and camera models. Secondary objectives included assessment of intra- and inter-operator variability. The device under investigation was not FDA cleared or approved at the time of the study and was evaluated under institutional review board (IRB) oversight as a non-significant risk (NSR) device study. No therapeutic interventions were administered, and no clinical management decisions were made based on device outputs.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
56
CLAiR is an investigational software as a medical device (SaMD) designed to analyze retinal fundus images and classify individuals as having elevated or not elevated risk of atherosclerotic cardiovascular disease. The software was evaluated for performance and reproducibility under protocol-defined imaging conditions.
Illinois Retina Associates
Homer Glen, Illinois, United States
Diabetes and Endocrinology Associates of Stark County, Inc.
Canton, Ohio, United States
Overall inter-operator reproducibility of the CLAiR ASCVD risk classification
Inter-operator reproducibility will be assessed as the overall percent agreement between paired binary CLAiR outputs (Elevated Risk, Not Elevated Risk, or No Result) generated from retinal images acquired by different operators. Agreement will be calculated across all paired comparisons according to the predefined statistical analysis plan.
Time frame: Single study visit (approximately 2 hours)
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