Skip to content

Precision Study of CLAiR AI Software

A Multi-Site Precision Study to Validate the Performance of CLAiR AI Software in Identifying Elevated Atherosclerotic Cardiovascular Disease Risk From Retinal Images.

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07747233
Enrollment
56
Registered
2026-08-05
Start date
2025-12-05
Completion date
2026-01-09
Last updated
2026-08-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cardiovascular Risk

Brief summary

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.

Detailed description

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.

Interventions

DEVICECLAiR Artificial Intelligence Software

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.

Sponsors

Toku Eyes Ltd
Lead SponsorINDUSTRY

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
40 Years to 75 Years
Healthy volunteers
Yes

Inclusion criteria

Previously participated in the CLAiR pivotal study with blood pressure and blood test measurements completed. Continues to meet the original pivotal study eligibility criteria. Male or female, 40 to 75 years of age. Able and willing to provide written informed consent. Willing and able to comply with all study procedures and complete the single study visit.

Exclusion criteria

Known history of atherosclerotic cardiovascular disease (ASCVD), including stroke, myocardial infarction, coronary artery bypass surgery, or coronary stenting. Current use of cholesterol-lowering medication (e.g., statins). Pregnancy. Persistent vision impairment in at least one eye (legally blind with current corrective lenses or visual acuity \<20/400). Known pathological myopia in at least one eye. Previous treatment for, or current care by, a retinal specialist for retinal disease in at least one eye.

Design outcomes

Primary

MeasureTime frameDescription
Overall inter-operator reproducibility of the CLAiR ASCVD risk classificationSingle study visit (approximately 2 hours)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.

Countries

United States

Contacts

STUDY_DIRECTORMichael Mcconnell, MD

Toku Eyes

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Aug 6, 2026