Development of “Predict ME,” an online classifier to aid in differentiating diabetic macular edema from pseudophakic macular edema

Idan Hecht, Ran Achiron, Asaf Bar, Marion R Munk, Wolfgang Huf, & Asaf Achiron
Purpose:Differentiating the underlying pathology of macular edema in patients with diabetic retinopathy following cataract surgery can be challenging. In 2015, Munk and colleagues trained and tested a machine learning classifier which uses optical coherence tomography variables in order to distinguish the underlying pathology of macular edema between diabetic macular edema and pseudophakic cystoid macular edema. It was able to accurately diagnose the underlying pathology in 90%–96% of cases. However, actually using the trained classifier required...
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