Gaurav Tiwari1*, Ankita Wal1, Raghuraj Singh Suryavanshi2, Rishi Shukla1, Muzammil Khan1, Brijesh Kumar Chaurasia2
1PSIT-Pranveer Singh Institute of Technology (Pharmacy), NH-19, Kanpur, Uttar Pradesh 209305, India
2Department of Computer Science & Engineering, Pranveer Singh Institute of Technology, National Highway, NH-19, Kanpur, Uttar Pradesh 209305, India
* Address for Correspondence:
Dr. Gaurav Tiwari, Professor,
PSIT- Pranveer Singh Institute of Technology (Pharmacy), National Highway, NH#19, Bhauti, Kanpur, Uttar Pradesh-209305, India.
ORCID: 0000-0003-2200-737X
Email ID: drgauravtiwari81@gmail.com
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.
Keywords Diabetic glaucoma, Artificial intelligence, Retinal imaging, Deep learning, Bionic eye, Visual prosthesis
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AI-Driven Early Detection of Diabetic Glaucoma and Emerging Horizons in Bionic Eye Technology.pdf