Fig. 7: Scatterplot depicting the association between actual and predicted HbA1c values using the deep learning model.
From: Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs
For the retrospective cohort of patients from 2010 to 2021, HbA1c values were collected within a ±30-day window of the CXRs (n = 15,945). The x-axis represents actual HbA1c values, while the y-axis shows predicted values from the deep learning model. A solid line demonstrates the linear regression fit, yielding a regression equation of y = 0.105x + 5.497, an R2 of 0.15, and a P value < 0.001. A two-sided linear regression test was conducted, and the 95% confidence interval is displayed as a light gray band. Source data are provided as a Source Data file.
