Novel Technologies in Artificial Intelligence and Telemedicine for Glaucoma Screening

Area of Science:

• Ophthalmology
• Medical Technology
• Health Informatics

Background:

• Glaucoma is a leading cause of irreversible blindness worldwide.
• Early detection and intervention are crucial for managing glaucoma and preventing vision loss.
• Current screening methods may have limitations in accessibility and cost-effectiveness.

Purpose of the Study:

• To review novel telemedicine and artificial intelligence (AI) technologies for cost-effective glaucoma screening.
• To explore the potential of these technologies in various healthcare settings.
• To identify advantages and challenges associated with their implementation.

Main Methods:

• A narrative review of existing research and recent developments in glaucoma detection.
• Summarization of findings related to telemedicine and AI applications in glaucoma screening.
• Analysis of implementation considerations, including workflow integration and ethical requirements.

Main Results:

• Telemedicine and AI enable innovative glaucoma screening in primary care, optometry, and home-based settings.
• These technologies enhance access to care, reduce costs, and facilitate timely diagnosis and intervention.
• Challenges include clinical workflow integration, ensuring patient equity, and meeting regulatory standards.

Conclusions:

• Telemedicine and AI advancements show significant promise for detecting moderate to advanced glaucoma.
• These approaches can improve screening in primary care and identify individuals at high risk.
• Further development and standardization are needed for widespread, cost-effective implementation.