The Use of Artificial Intelligence in the Early Detection and the Follow-Up of Diabetic Retinopathy of Diabetic Patients Followed at the CHUM: Evaluation of NeoRetina Automated Algorithm (DIAGNOS Inc.)

Status: Recruiting
Location: See location...
Intervention Type: Diagnostic test
Study Type: Interventional
Study Phase: Not Applicable
SUMMARY

This prospective study aims to validate if NeoRetina, an artificial intelligence algorithm developped by DIAGNOS Inc. and trained to automatically detect the presence of diabetic retinopathy (DR) by the analysis of macula centered eye fundus photographies, can detect this disease and grade its severity.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: f
View:

• Patients of 18 years old and older;

• Ability to provide informed consent;

• Diagnostic for diabetes : 3a) Type 1 diabetes of a lest 5 years of evolution; or 3b) Type 2 diabetes;

• Diabetic patient followed and refered by a physician of the Centre hospitalier de l'Université de Montréal (CHUM) : 4a) followed by an endocrinologist of the CHUM; or 4b) hospitalized at the CHUM; or 4c) on the waiting list of the Ophthalmology Clinic of the CHUM for the evaluation of DR.

Locations
Other Locations
Canada
Centre hospitalier de l'Université de Montréal
RECRUITING
Montreal
Contact Information
Primary
Marie-Catherine Tessier, MSc
marie-catherine.tessier.chum@ssss.gouv.qc.ca
514-890-8000
Backup
Karim Hammamji, MD
ophtalmologie.recherche.chum@ssss.gouv.qc.ca
514-890-8000
Time Frame
Start Date: 2024-06-10
Estimated Completion Date: 2026-12
Participants
Target number of participants: 630
Treatments
Experimental: Diabetic Retinopathy (DR)
Screening of DR with artificial intelligence (NeoRetina algorithm) and diagnostic evaluation with a standard of care ophthalmological examination.
Authors
Salim Lahoud
Sponsors
Leads: Centre hospitalier de l'Université de Montréal (CHUM)
Collaborators: DIAGNOS Inc.

This content was sourced from clinicaltrials.gov

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