Deep learning model for AI: Stopping nascent GA in its tracks: Researchers found the model demonstrated "near-perfect" detection capabilities.

RISK assessment; RETINAL degeneration; OPTICAL coherence tomography; ARTIFICIAL intelligence; RETINAL diseases; DIGITAL image processing; DISEASE progression; SENSITIVITY & specificity (Statistics)

The article discusses the potential of a deep, learning model for an artificial intelligence (AI)- assisted approach for detecting nascent geographic atrophy (GA) on optical coherence tomography (OCT) scans in 2024. Topics covered include the assisted model's resulting reduction of the images that would warrant manual review, and its promise of strong prediction of GA onset. Also noted is the continued maintenance of near-perfect sensitivity.