- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07378956
Clinical Efficacy of Implementing an AI-SaMD for Funduscopy Analysis in Patients With Diabetes Mellitus (SAFE-DM)
April 8, 2026 updated by: VUNO Inc.
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
The objective of this study is to investigate the efficacy of implementing the AI-SaMD(VUNO Med®-Fundus AI™) alongside routine clinical practice for the detection of diabetic retinopathy.
Study Overview
Status
Recruiting
Intervention / Treatment
Detailed Description
The primary objective of this study is to compare the true referral rate between patients with VUNO Med®-Fundus AI™-assisted screening (intervention group) and those receiving usual clinical care without AI assistance (control group) among patients with diabetes mellitus.
Study Type
Interventional
Enrollment (Estimated)
340
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
- 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
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
No
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
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: Screening
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / 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
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
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
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
This is where you will find people and organizations involved with this study.
Sponsor
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 (Actual)
April 7, 2026
Primary Completion (Estimated)
August 31, 2027
Study Completion (Estimated)
August 31, 2027
Study Registration Dates
First Submitted
January 23, 2026
First Submitted That Met QC Criteria
January 23, 2026
First Posted (Actual)
January 30, 2026
Study Record Updates
Last Update Posted (Actual)
April 13, 2026
Last Update Submitted That Met QC Criteria
April 8, 2026
Last Verified
April 1, 2026
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- VN-M-03 PR
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
YES
IPD Plan Description
The institutional dataset used in this study, along with de-identified results, is available upon reasonable request for purposes such as systematic review or meta-analysis, only with approval from the corresponding author and the official approval of local IRB.
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
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.
Clinical Trials on Diabete Mellitus
-
SeraxisNot yet recruitingDiabete Mellitus | Diabete Type 1
-
Rio Grande do Sul State Health Department - SES/RSAgnes Nogueira Gossenheimer; Ana Paula Rigo; Roberto Eduardo SchneidersNot yet recruitingTelemedicine | Diabete Mellitus | Diabete Type 2 | TelehealthBrazil
-
Assiut UniversityNot yet recruiting
-
King Abdulaziz UniversityEnrolling by invitation
-
Hospices Civils de LyonCompletedDiabete Type 2 | Diabete Type 1France
-
Washington University School of MedicineNational Heart, Lung, and Blood Institute (NHLBI); University of Abuja Teaching...Not yet recruiting
-
Dong-A ST Co., Ltd.Not yet recruiting
-
Assiut UniversityNot yet recruiting
-
Ariba ShafiqCompleted
-
University of TorontoActive, not recruitingDiabete Mellitus | LonelinessCanada
Clinical Trials on VUNO Med®-Fundus AI™
-
Inje UniversityPusan National University Hospital; Dong-A University Hospital; Pusan National... and other collaboratorsCompletedGlaucoma | Diabetic Retinopathy | Retinal Vein Occlusion | Age Related Macular Degeneration | Glaucoma SuspectSouth Korea