
"Our approach could potentially be used in eye clinics to prevent unnecessary and costly trial-and-error treatments and thus alleviate a substantial treatment burden for patients," said research team leader Sina Farsiu from Duke University. "The algorithm could also be adapted to predict therapy response for many other eye diseases, including neovascular age-related macular degeneration."
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"Artificial intelligence predicts treatment outcome for diabetes-related vision loss"