Researchers at Khalifa University are developing smart screening tools to diagnose retinal diseases

A team of researchers at Khalifa University has developed innovative screening tools to detect retinal diseases using smart systems through machine learning techniques and models, to screen for retinal diseases and help doctors identify retinal abnormalities through advanced imaging technologies.

Professor of Computer Science at Khalifa University, Professor Dr. Nofal Warghi, said: “Integrating machine learning technologies into healthcare offers endless possibilities as they continue to evolve. These screening tools may revolutionize the field of ophthalmology and provide innovative solutions in terms of early diagnosis and management of… Retinal diseases by enabling early detection and accurate diagnosis. He added: “Models trained on wide sets of data represented by retinal images have shown remarkable accuracy in detecting early signs of diabetic retinopathy even when the patient has no symptoms. Glaucoma can be diagnosed early through models analyzing the layer of retinal nerve fibers, which leads to “The increased pressure in the eye in glaucoma can damage the optic nerve, and the thickness of the retinal layers can be assessed and early signs of damage detected through these smart systems models even before significant vision loss occurs.”