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Retinal Deep PhenotypingTM

NCT05903651 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 813

Last updated 2024-12-13

No results posted yet for this study

Summary

This study aims to collect a baseline dataset of MHRC retinal scans that will be used for the pre-training of deep learning models from the hyperspectral retinal image phenotypic features that may form the basis for multiple future classification applications. A sub-set of the images will also be analyzed by eye specialists to determine if visual inspection of the images could provide useful information in their practice.

As an exploratory study, there are no endpoints per se, however the following sub-objective will be evaluated for determining the success of this study:

* Collection and characterization of MHRC retinal images from at least 2000 participants that score at least 80 on the real-time Quality Index (included in the MHRC software).
* Development of at least one (1) DL model of the retina. Models may be used for the development of novel classifier tests and potential use in a clinical setting.
* At least 5% of participants shall have an MHRC retinal image reviewed by an eye specialist (Optometrist or Ophthalmologist) to assess the image quality and potential clinical usefulness.

Conditions

  • Healthy

Sponsors & Collaborators

  • Optina Diagnostics Inc.

    lead INDUSTRY

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-04-03
Primary Completion
2024-03-14
Completion
2024-03-14

Countries

  • Canada

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05903651 on ClinicalTrials.gov