Deep Learning in the Detection and Prediction of Hydroxychloroquine Maculopathy

Hydroxychloroquine retinal toxicity affects a significant number of patients using this medication. Detection of toxicity is difficult in the early stages of the disease and depends on the subjectivity of the clinician who reads the tests (optical coherence tomography, autofluorescence and visual fields). Automating the reading of these diagnostic exams could lead to earlier detection of this pathology and reduce the burden associated with interpreting these exams in the ophthalmology service. The images that are usually taken in the screening and monitoring of hydroxychloroquine toxicity by will be collected - photography of the ocular fundus and optical coherence tomography with autofluorescence.

NCT Number	NCT06839443
Lead Sponsor	Centro Hospitalar de Lisboa Central
Conditions	Hidroxicloroquine Intake
Enrollment	100 participants
Start Date	2024-08-01
Primary Completion	2025-04-20 (estimated)
Study Completion	2025-06-20 (estimated)
Updated on ClinicalTrials.gov	2025-02-21