Artificial Intelligence Software for Diabetic Eye Screening: Diagnostic Performance and Impact of Stratification.

ABSTRACT:

Aim

To evaluate the MONA.health artificial intelligence screening software for detecting referable diabetic retinopathy (DR) and diabetic macular edema (DME), including subgroup analysis.

Methods

The algorithm's threshold value was fixed at the 90% sensitivity operating point on the receiver operating curve to perform the disease classification. Diagnostic performance was appraised on a private test set and publicly available datasets. Stratification analysis was executed on the private test set considering age, ethnicity, sex, insulin dependency, year of examination, camera type, image quality, and dilatation status.

Results

The software displayed an area under the curve (AUC) of 97.28% for DR and 98.08% for DME on the private test set. The specificity and sensitivit

SUBMITTER: Peeters F 

PROVIDER: S-EPMC9967595 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature