Deep learning predicts diabetic macular edema outcomes
Voiant, a clinical‑trial imaging specialist, has published a peer‑reviewed study in Nature Eye demonstrating that a deep‑learning algorithm can forecast both visual‑acuity and retinal‑thickness changes one year after anti‑VEGF therapy in treatment‑naïve diabetic macular edema (DME) patients using only baseline optical coherence tomography (OCT) scans. The results suggest a new route for patient stratification in…
