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Verisee Software for Diabetic Retinopathy Screening

The Clinical Benefit of an Artificial Intelligence Software Implementation on Diabetic Retinopathy Screening

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04631653
Enrollment
1000
Registered
2020-11-17
Start date
2020-12-01
Completion date
2023-12-31
Last updated
2020-11-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Diabetic Retinopathy

Brief summary

The investigators aim to improve the diagnostic accuracy and the clinical referral rate for diabetic retinopathy by using a deep learning-based software.

Detailed description

Diabetic retinopathy (DR) is the leading cause of blindness among working-age patients with type 2 diabetes. According to previous studies, early screening and timely treatment can reduce the risk of worsening DR and blindness. International guidelines recommend that screening for DR be performed at least once every year for patients with type 2 diabetes. The investigators will implement a validated deep learning-based software, VeriSee®, in clinics, and evaluate the benefits on diagnostic accuracy and the clinical referral rate for diabetic retinopathy after implementation of this software.

Interventions

DEVICEVeriSee®

Screening of diabetic retinopathy using a validated deep learning-based software,VeriSee®

Sponsors

Taichung Veterans General Hospital
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
SCREENING
Masking
NONE

Intervention model description

Examine the diagnostic accuracy in referred participants

Eligibility

Sex/Gender
ALL
Age
20 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Adults * Patients with diabetes * Cooperation to fundal scopic examination

Exclusion criteria

* Diabetic duration \< 5 years in patients with type 1 diabetes * Pregnancy

Design outcomes

Primary

MeasureTime frameDescription
diagnostic accuracy12 monthsdiagnostic accuracy compared to the baseline

Secondary

MeasureTime frameDescription
Screening rate of diabetic retinopathy12 monthsScreening rate of diabetic retinopathy in patients with diabetes
Changes in HbA1c3 monthsChanges in HbA1c
Referral rate of diabetic retinopathy12 monthsSuccessful referral rate for referrable diabetic retinopathy

Countries

Taiwan

Contacts

Primary ContactI-Te Lee, MD,PhD
itlee@vghtc.gov.tw+886-4-23592525
Backup ContactYu-Hsuan Li, MD

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026