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)

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Clinical Phase

NA

Total Enrollment

100 participants

Study Classification

INTERVENTIONAL

Study Start Date

2025-01-30

Study Completion Date

2026-01-30

Brief Summary

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This is a research plan from the University of Munich (LMU) that aims to study how the use of AI reports can impact ophthalmologists' decisions regarding treatment for patients with neovascular age-related macular degeneration (nAMD). This disease is a leading cause of vision loss, and while anti-VEGF treatments are effective, they require careful monitoring and retreatment decisions to maximize benefits.

The study will involve up to 1000 ophthalmologists with varying levels of expertise. These ophthalmologists will review SD-OCT scans and make treatment decisions before and after reviewing AI-generated reports. The primary objective is to compare these decisions and see how the AI reports influence them. Secondary objectives include assessing the accuracy and safety of the AI reports.

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Detailed Description

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This research project at LMU delves into the intersection of artificial augmentation and ophthalmology, specifically focusing on how AI-generated 2nd opinion reports can aid in the treatment planning of neovascular age-related macular degeneration (nAMD). The project will involve a diverse group of up to 1000 ophthalmologists, categorized into six user groups based on their expertise, ranging from residents to seasoned retina specialists.

The core of the research involves assessing the impact of AI-generated 2nd opinion reports on ophthalmologists' treatment decisions for nAMD. Participants will review SD-OCT scans and make initial treatment decisions. Subsequently, they will review AI-generated reports for the same scans and have the opportunity to revise their decisions. This process aims to evaluate the influence of AI insights on clinical judgment.

The project will be conducted virtually, with participants enrolling online from various countries. Data collection will be facilitated through an electronic system, ensuring efficiency and security. Statistical analysis will primarily involve descriptive statistics to summarize the findings. The results of the study will be disseminated through publication in a peer-reviewed journal.

Conditions

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Neovascular Age-Related Macular Degeneration (nAMD)

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Survey

Primary Study Purpose

BASIC_SCIENCE

Blinding Strategy

NONE

Study Groups

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AI 2nd opinion assisted assessment of SD-OCT scan

Ophthalmologists assess patient SD-OCT scans before and after reviewing AI-2nd opinion reports

Group Type EXPERIMENTAL

AI assisted assessment of SD-OCT scans

Intervention Type BEHAVIORAL

AI 2nd opinion report on nAMD treatment planning

Interventions

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AI assisted assessment of SD-OCT scans

AI 2nd opinion report on nAMD treatment planning

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

* Electronically consented to the informed consent form (eICF)
* Criteria to be included in one of the following six Ophthalmology user groups:

Group 1 Non-retina specialist Group: Ophthalmology, completed ophthalmology residence with no or another subspecialty other than retina (e.g., Glaucoma, refractive, etc) Group 2 Resident Group: \<5 years in residency in ophthalmology Group 3 Fellow Group: Retina specialist in training Group: in fellowship in vitreoretinal medicine, medical retina Group 4 Retina specialist Group: completed retina training, regular requalification Group 5 Junior reader Group: have already gained experience in the reporting clinical routine with the diagnostics in question and completed the initial certification process at an Image and Reading Center (acc. to centre's SOP) Group 6 Senior reader Group: specialist with several years of experience in the relevant field or have completed at least 3 years of residency training. Completed the certification process at the Image and Reading Center (acc. to centre's SOP)