Clinical Efficacy of Implementing an AI-SaMD for Funduscopy Analysis in Patients With Diabetes Mellitus (SAFE-DM)
Clinical Efficacy of Implementing an AI-Driven Software as a Medical Device (SaMD) for Funduscopy Analysis in Patients With Diabetes Mellitus: A Randomized Controlled Trial Protocol
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Hee Jun Park
- Phone Number: 82-10-7101-2844
- Email: heejun.park@vuno.co
Study Locations
-
-
Gyeonggi-do
-
Incheon, Gyeonggi-do, South Korea, 22332
- Recruiting
- Inha University Hospital
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Adults aged 19 years or older.
- A documented diagnosis of type 2 diabetes mellitus.
- Ability to communicate adequately and provide written informed consent for participation in the study.
Exclusion Criteria:
- A prior diagnosis of diabetic retinopathy at the time of screening.
- A history of ophthalmic surgery within 6 months prior to the screening date.
- A diagnosis of type 1 diabetes mellitus.
- Pregnancy at the time of screening.
- Any condition that, in the opinion of the investigator, would make participation in the study infeasible or inappropriate.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Screening
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Intervention group
For participants assigned to the intervention group, VUNO Med®-Fundus AI™ will be applied to the acquired fundus images, and the AI-generated outputs will be shown to clinicians during routine care.
|
VUNO Med®-Fundus AI™ is an artificial intelligence-based fundus image detection and diagnostic support software.
The software automatically identifies abnormal retinal findings and provides information on the type and location of detected abnormalities to aid clinical decision-making.
|
|
No Intervention: Control group
For participants assigned to the control group, fundus images will be interpreted according to usual clinical care without AI assistance.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
True Referral Rate
Time Frame: within 6 months
|
The true referral rate is defined as the proportion of subjects who were diagnosed with diabetic retinopathy by an ophthalmologist among those referred to ophthalmology with suspected diabetic retinopathy.
The true referral rate will be compared between the intervention and control groups.
|
within 6 months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Diabetic Retinopathy (DR) Diagnosis Rate
Time Frame: Within 6 months
|
Proportion of subjects diagnosed with diabetic retinopathy among all enrolled subjects will be compared between the intervention group and the control group.
|
Within 6 months
|
|
Odds Ratio
Time Frame: Within 6 months
|
Odds ratio between the diagnosis of diabetic retinopathy and the application of the AI system among subjects referred to ophthalmology will be calculated.
|
Within 6 months
|
|
Referral Rate
Time Frame: Within 6 months
|
Proportion of subjects referred to ophthalmology for suspected diabetic retinopathy among all enrolled subjects will be compared between the intervention group and the control group.
|
Within 6 months
|
|
Time to Diabetic Retinopathy Diagnosis
Time Frame: Within 6 months
|
Time interval from the diagnosis of diabetes mellitus to confirmed diagnosis of diabetic retinopathy based on ophthalmologic evaluation among referred subjects will be compared between the intervention group and the control group.
|
Within 6 months
|
|
Performance of the AI System in Detecting Diabetic Retinopathy
Time Frame: Within 6 months
|
Sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV) of the AI system will be calculated in comparison with ophthalmologist-confirmed diagnoses.
|
Within 6 months
|
|
Accuracy of Referral for Diabetic Retinopathy
Time Frame: Within 6 months
|
Proportion of subjects whose referral decisions (referral or non-referral) are concordant with ophthalmologist-confirmed DR status will be compared between the intervention group and the control group.
|
Within 6 months
|
|
Adherence Rate
Time Frame: Within 6 months
|
Proportion of referred subjects who attend an ophthalmology department will be compared between the intervention group and the control group.
|
Within 6 months
|
Other Outcome Measures
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Interim Analysis
Time Frame: Within 6 months
|
One interim analysis will be conducted when 50% of subjects have completed all study visits.
The purpose of this analysis is to review the status of subject dropouts and the reasons for dropout in each group.
This procedure will be conducted by a statistician who is independent of the study conduct.
|
Within 6 months
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- VN-M-03 PR
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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.