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Diagnosis of Iron Deficiency by Artificial Intelligence Analysis of Eye Photography.

NCT05395468 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2022-07-25

No results posted yet for this study

Summary

The objective of our work is to predict the value of ferritin from the eye, thus constituting an original, non-invasive diagnostic method of iron deficiency. To be usable in real life, the algorithm must be comparable to the performance of the reference diagnostic test (determination of ferritin), allowing to obtain a sensitivity of about 90% and a specificity \> 95%.

Conditions

  • Iron-deficiency

Interventions

OTHER

photographs of each eye

All subjects included will take 5 photographs of each eye according to a standardised procedure in terms of distance, lighting and framing

Sponsors & Collaborators

  • Université d'Auvergne

    collaborator OTHER

  • University Hospital, Clermont-Ferrand

    lead OTHER

Principal Investigators

  • Hervé LOBBES · University Hospital, Clermont-Ferrand

Eligibility

Min Age
18 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-09-30
Primary Completion
2023-12-31
Completion
2024-06-30

Countries

  • France

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 NCT05395468 on ClinicalTrials.gov