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) (LMU ASSIST)

February 7, 2025 updated by: Johannes Schiefelbein

LMU Project on the Impact of Reviewing AI Annotated SD-OCT Therapy Assistance Reports on Ophthalmologists' Treatment Decision-making for Anti-VEGF Therapy in NAMD Patients

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.

Study Overview

Detailed Description

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.

Study Type

Interventional

Enrollment (Estimated)

100

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Bavaria
      • Munich, Bavaria, Germany, 80336
        • LMU Klinikum
        • Contact:
        • Contact:
          • Siegfried Priglinger, Prof Dr med
        • Contact:
          • Johannes Schiefelbein
        • Contact:
          • Ben Asani

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

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)

Exclusion Criteria:

  • Not an Ophthalmologist.
  • Does not have time to participate in the estimated project duration of 30 minutes.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Basic Science
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: AI 2nd opinion assisted assessment of SD-OCT scan
Ophthalmologists assess patient SD-OCT scans before and after reviewing AI-2nd opinion reports
AI 2nd opinion report on nAMD treatment planning

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Ophthalmologist's Treatment Decision
Time Frame: There is only one survey filled out by the participant. In this survey, only one time point when participant views the SD-OCT and AI 2nd opinion report and fills out the survey questions.
The number and percentage of initial treatment decisions that stayed the same after their review of the AI-CDS report The number and percentage of initial decisions that changed after their review of the AI-CDS report
There is only one survey filled out by the participant. In this survey, only one time point when participant views the SD-OCT and AI 2nd opinion report and fills out the survey questions.

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Performance Accuracy
Time Frame: There is only one survey filled out by the participant. In this survey, only one time point when participant views the SD-OCT and AI 2nd opinion report and fills out the survey questions.

The number and percentage of correct assessments (accuracy) made by AI-CDS report vs image grading/reading center (M³ Macula Monitor Münster) assessment (control / gold standard / ground truth) The percentage of correct assessments (accuracy) made by each of the 6 user group vs. image grading and reading center (M³ Macula Monitor Münster) assessment (control / gold standard / ground truth).

How often is the AI-CDS report correct? How often is each of the 6 user groups correct after viewing just the SD-OCT image?

Intra-rater reliability:

How often are ophthalmologists (each user group) right/wrong after viewing AI-CDS report and made any decision changes?

There is only one survey filled out by the participant. In this survey, only one time point when participant views the SD-OCT and AI 2nd opinion report and fills out the survey questions.
Safety prediciton assessment
Time Frame: There is only one survey filled out by the participant. In this survey, only one time point when participant views the SD-OCT and AI 2nd opinion report and fills out the survey questions.
Yes/No prediction rates If an ophthalmologist is correct and AI-CDS report incorrect, how often does AI-CDS report mislead? Whether false-positive or false-negative? If an ophthalmologist is wrong and AI-CDS report correct, how often does AI-CDS report correct? Whether false-positive or false-negative?
There is only one survey filled out by the participant. In this survey, only one time point when participant views the SD-OCT and AI 2nd opinion report and fills out the survey questions.
Exploratory AI-CDS report Impact on Decision Making
Time Frame: There is only one survey filled out by the participant. In this survey, only one time point when participant views the SD-OCT and AI 2nd opinion report and fills out the survey questions.
impact of AI-CDS report on ophthalmologist's decision-making survey
There is only one survey filled out by the participant. In this survey, only one time point when participant views the SD-OCT and AI 2nd opinion report and fills out the survey questions.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Director: Director the Eye Clinic, LMU Klinikum Eye Clinic

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

January 30, 2025

Primary Completion (Estimated)

January 30, 2026

Study Completion (Estimated)

January 30, 2026

Study Registration Dates

First Submitted

January 27, 2025

First Submitted That Met QC Criteria

February 7, 2025

First Posted (Actual)

March 25, 2025

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

February 7, 2025

Last Verified

January 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

IPD Plan Description

It is not yet known if there will be a plan to make IPD available.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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