IEM and STAT Professors Receive $1.2M Grant to Study AI Models for Diabetic Retinopathy
Screening
The grant, which is spread over four years, will support the research to improve the
performance of the DR screening tool by ameliorating the data quality issues in EHR.
Specific aims of the project include designing tensor-enabled data imputation, augmentation,
and prediction algorithms led by Drs. Tieming Liu, Chenang Liu, and Bing Yao in IEM
and a Bayesian hierarchical modeling approach to classify the unlabeled patients'
trajectories led by Dr. Ye Liang in STAT.