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Changes in Diabetic Retinopathy Severity Levels Identified from Retinal Images Interpretation by Deep Learning Algorithms, Trained Graders, and Retinal Specialists.

Changes in Diabetic Retinopathy Severity Levels Identified from Retinal Images Interpretation by Deep Learning Algorithms, Trained Graders, and Retinal Specialists.

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
TCTR
Registry ID
TCTR20180716003
Enrollment
Unknown
Registered
2018-07-16
Start date
2017-06-01
Completion date
Unknown
Last updated
2026-08-03

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

Conditions

Diabetic retinopathy

Interventions

Patients with diabetes who had no DR or mild NPDR and had their retinal images taken in the National DR Screening Program in Ophthalmic Service Plan of Ministry of Public Health of Thailand during the
Screening

Sponsors

None listed

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: - Patients with diabetes who had no DR or mild NPDR and had their retinal images taken in the National DR Screening Program in Ophthalmic Service Plan of Ministry of Public Health of Thailand during the fiscal years of 2015 to 2017 - The patients described above had to have at least two retinal images taken in both the years 2015 and 2017.

Exclusion criteria

Exclusion criteria: - Diabetic patients whose retinal images cannot be graded for DR will be counted as referrals by other criteria but not be counted for estimation of the incidence of referrals of DR - Diabetic patients whose one of the required retinal images cannot be transferred completely into the central server due to whatever reasons. - Diabetic patients with cornea, lens, or other retinal abnormalities such as trauma, glaucoma, cataract, uveitis, vitreous hemorrhage from other causes precluded grading of DR

Design outcomes

Primary

MeasureTime frame
incidence of diabetic retinopathy 2 years Graders, Deep learning algorithm and Retinal specialist

Secondary

MeasureTime frame
To compare the incidence of diabetic retinopathy with gold standard (reitnal specialist) 2 years Graders, Deep learning algorithm and Retinal specialist,To compare the incidence of diabetic retinopathy between graders and deep learning algorithm 2 years Graders and Deep learning algorithm

Countries

Thailand

Contacts

Public ContactPaisan Ruamviboonsuk

Rajavithi hospital

paisan.trs@gmail.com0814894455

Outcome results

None listed

Source: TCTR (via WHO ICTRP) · Data processed: Aug 9, 2026