Type 2 & other diabetes

Diagnostic Accuracy of Artificial Intelligence-Enabled Retinal Biomarkers for Detecting Type 2 Diabetes and Prediabetes Among Asian Indians [DART Study]

Diabetes Technol TherPublished Diagnostic accuracy study

Authors' conclusion

In this proof-of-concept study, AI-informed retinal venous features on routine fundus images, with further prospective and multisite validation, could potentially serve as noninvasive DM detection using AI models among Asian Indians.

Study context

Population
Asian Indians; mean age 49.4 ± 12.9 yrs; male 71.2%; 273 retinal images
Participants
139 participants273 retinal images
Comparison
Artificial intelligence (AI)-derived retinal vessel tortuosity features for diabetes mellitus (DM) and PreDM vs normoglycemia
  • Normoglycemian = 19reference
  • DMn = 100
  • PreDMn = 20
Outcome
Diagnostic accuracy of vein-only model
Methodological detailsproof-of-concept, training and independent blinded test sets (random 50:50 split)
  • Proof-of-concept
  • Training and independent blinded test sets (random 50:50 split)

Performance

As reported in the abstract

Test or modelValueSensitivitySpecificityPrecision
DMArea under precision-recall curve (AUPRC) 0.96 (95% CI 0.9–1.00)95%72.2%95%
PreDMAUC 0.80 (95% CI 0.63–0.94)70%80%82.35%

Value

DMAUPRC 0.96 (95% CI 0.9–1.00)
PreDMAUC 0.80 (95% CI 0.63–0.94)

Sensitivity

DM95%
PreDM70%

Specificity

DM72.2%
PreDM80%

Precision

DM95%
PreDM82.35%

Further findings

Independent association of oculomics scores with glycemic status (multivariable logistic regression)

Adjusted OR (95% CI)P value
ODiS (DM)2.00 (1.56–2.57)P < 0.001
OPreS (PreDM)1.32 (0.65–2.71)P = 0.48
  • Independent association of oculomics scores with glycemic status (multivariable logistic regression): adjusted for age, sex, height, weight, blood pressure, serum cholesterol, serum creatinine

Original publication

Diagnostic Accuracy of Artificial Intelligence-Enabled Retinal Biomarkers for Detecting Type 2 Diabetes and Prediabetes Among Asian Indians [DART Study]. Diabetes Technol Ther. Published 23 January 2026. doi:10.1177/15209156261417296

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