Personalized Monitoring of Non-foveal, Non-vision Compromising Atrophic Age-related Macular Degeneration With Artificial Intelligence and Identification of Disease Progression
NCT06351657 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 200
Last updated 2025-05-15
Summary
The goal of this prospective, multinational, multicenter observational study is to assess and predict progression in non-foveal, non-vision compromising atrophic AMD on an individual-based level over two years. The main objectives of this study are:
* Assess the individual progression rate of a patient in non-foveal, non-vision compromising atrophic AMD and assess personalized risk of progression based on imaging.
* Identify and quantify focal and global alterations in the retina in regard to disease progression.
* Evaluate the monitoring of AMD progression using approved AI algorithms.
All patients will be followed for 24 months with 6 month intervals to assess clinical changes. Monitoring of disease progression will be performed using the following routine in-vivo imaging procedures:
* Scanning Laser Fundus Photography
* Color Fundus Photography (CFP)
* Optical Coherence Tomography (OCT)
* Optical Coherence Tomography Angiography (OCTA)
Patients will be asked for their medical history. Standard ophthalmic examination, as well as a questionnaire on visual function will be carried out.
No intervention will be performed during the study since no treatment is yet available within Europe. As soon as treatment is approved in the EU, patients in this cohort might receive treatment according to availability in their respective country and standard of care. If treatment will be performed, it will be as standard of care outside the study according to each country's standard of care and by EMA label.
Conditions
- Age-Related Macular Degeneration
- Geographic Atrophy
Sponsors & Collaborators
-
University Medical Centre Ljubljana
collaborator OTHER -
Centre Hospitalier Universitaire Dijon
collaborator OTHER -
University of Zurich
collaborator OTHER -
Vista Klinik
collaborator OTHER -
Queen's University, Belfast
collaborator OTHER -
Fundacion Clinic per a la Recerca Biomédica
collaborator OTHER -
Medical University of Vienna
lead OTHER
Eligibility
- Min Age
- 55 Years
- Max Age
- 99 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-04-11
- Primary Completion
- 2027-07-31
- Completion
- 2027-07-31
Countries
- Austria
- France
- Slovenia
- Spain
- Switzerland
- United Kingdom
Study Locations
More Related Trials
-
Multimodal Imaging in Vitreo-retinal Surgery and Macular Dystrophies
NCT05747144 ·Status: RECRUITING
-
User-centric Study of Patients' Receptiveness Towards the Web-based Automated Vision Impairment Gaze-tracking Analysis Systems
NCT07338513 ·Status: NOT_YET_RECRUITING
-
Study the Signs of Ocular Degeneration in a Population Cohort (Dijon 3C Montrachet Cohort)
NCT01766596 ·Status: COMPLETED ·Phase: NA
-
Pivotal Trial of an Automated AI-based System for Early Diagnosis and Prediction of Late Age-related Macular Degeneration
NCT07084883 ·Status: RECRUITING
-
This Project At LMU Looks At How Using AI 2nd Opinion Report to Analyze Retinal Eye Scans Impact Doctors' Decisions About Treatment for Patients with a Specific Eye Disease (nAMD)
NCT06817915 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Artificial Intelligence-Aided Screening for Patients With Diabetic Retinopathy and Age-related Macular Degeneration in Family Medicine and Geriatric Medicine Outpatient Clinics
NCT07069647 ·Status: RECRUITING ·Phase: NA
-
Retinal Imaging by Adaptive Optics in Healthy Eyes and During Retinal and General Diseases
NCT01546181 ·Status: COMPLETED
-
AI-Assisted Detection of Posterior Segment Diseases: DR, AMD, RVO, and Glaucoma
NCT07318428 ·Status: ENROLLING_BY_INVITATION ·Phase: NA
-
Deciphering AMD by Deep Phenotyping and Machine Learning- Prospective Study - SUMMIT (Part 2)
NCT06682455 ·Status: ENROLLING_BY_INVITATION
-
High Resolution, High-speed Multimodal Ophthalmic Imaging
NCT04129021 ·Status: RECRUITING ·Phase: NA
-
Automated Vision Assessment and Impairment Detection Through Gaze Analysis in Wet AMD Patients
NCT06518512 ·Status: ACTIVE_NOT_RECRUITING
-
Building Research With Artificial Intelligence in Neuro-Ophthalmology
NCT06390579 ·Status: COMPLETED
-
Prediction of Progression of Age-Related Macular Degeneration
NCT04640649 ·Status: UNKNOWN ·Phase: NA
-
Natural History of Geographic Atrophy Associated With Age-Related Macular Degeneration
NCT02941263 ·Status: COMPLETED
-
Visual Frailty in Ageing
NCT06604104 ·Status: RECRUITING
-
A Non-Interventional Study Observing Short-Term Progression in Geographic Atrophy (GA)
NCT07144137 ·Status: RECRUITING
-
AI Classifies Multi-Retinal Diseases
NCT04592068 ·Status: UNKNOWN
-
Prospective Cohort Study on Predicting the Progression of Diabetic Microangiopathy Using Multimodal Eye Imaging
NCT06727955 ·Status: NOT_YET_RECRUITING
-
Development of an Optimal Algorithm for the Management of Patients With Retinal Pigment Epithelium Detachment in Neovascular Age-related Macular Degeneration Using Artificial Intelligence
NCT05208931 ·Status: COMPLETED
-
Deciphering AMD by Deep Phenotyping and Machine Learning- Prospective Study - PINNACLE
NCT04269304 ·Status: ACTIVE_NOT_RECRUITING
-
OCT and Microperimetry in Patients With Active Neovascular ARMD (CORFI)
NCT03435926 ·Status: UNKNOWN
-
Progression of Early Atrophic Lesions
NCT05959005 ·Status: RECRUITING
-
Telemedicine in Age-Related Macular Degeneration
NCT04863391 ·Status: UNKNOWN
-
Non-invasive Optical Angiography in Age-related Macular Degeneration
NCT02521142 ·Status: UNKNOWN
-
Microperimetry and Eye Progressing From Stage 3 to Stage 4 Age-related Macular Degeneration (AMD)
NCT02395757 ·Status: COMPLETED ·Phase: NA