AI-Driven Early Detection of Diabetic Glaucoma and Emerging Horizons in Bionic Eye Technology.

Abstract

Background: Diabetic glaucoma is a serious eye disorder that can lead to permanent vision loss and is increasingly seen in individuals with long-term diabetes. With its rising global incidence, there is a critical need for early and reliable methods of detection to prevent severe complications.

Objective: This study highlights the growing role of artificial intelligence (AI), especially deep learning technologies, in identifying diabetic glaucoma at an early stage. It also reviews progress in bionic eye technologies designed to help restore vision in affected individuals.

Methods: Relevant scientific literature was reviewed by searching databases including PubMed, Taylor francis, ScienceDirect, MDPI, and Bentham. Articles published up to 2025 were considered, focusing on terms such as "diabetic glaucoma,""retinal imaging,""deep learning,""AI in eye care,""bionic eye,"and "neuroprosthetics."Studies were selected based on their relevance to diagnostic innovations and vision-restoration technologies.

Results: Recent developments in AI have enabled more accurate interpretation of retinal images, such as those from fundus cameras and optical coherence tomography (OCT), aiding in early detection of structural changes linked to glaucoma. At the same time, bionic eye systems-based on neuroprosthetic implants-are showing promise in partially restoring vision in cases of severe visual impairment.

Conclusion: Combining AI-powered diagnostics with emerging bionic eye technologies represents a major shift in managing diabetic glaucoma. These innovations have the potential to improve early detection and offer new options for visual rehabilitation, paving the way for more effective patient care in ophthalmology.