A Hybrid AI Method for Optimal Deep Learning and Crazy Logistic Frameworks for Early GLAUCOMA Detection

Puntos clave

• Early glaucoma detection is enhanced using a hybrid method featuring deep learning and logistic regression.
• The method achieved a 95% accuracy in identifying glaucoma in participants aged 40 and older.
• Assessment utilized hybrid AI methods that combine deep learning with traditional logistic regression approaches.
• These findings indicate the potential for improved screening methods, calling for further exploration in diverse populations.