Glaucoma Research Advances With AI

A partnership between artificial intelligence systems and clinicians may lead to mutual advancements in glaucoma research and clinical practice, according to a review published in the British Journal of Ophthalmology.

Given that glaucomatous changes to the optic nerve head tissues are irreversible, timely, and reliable structural and functional evaluation of the eye could help in the early diagnosis of glaucoma. In recent years, AI-based systems have started to revolutionize the healthcare industry. A number of AI studies have been proposed for the diagnosis and management of glaucoma based on the interpretation of functional and/or structural information of the eye.

According to a review summarizing the role of AI in glaucoma research, modern systems have successfully increased the speed and diagnostic power of ocular imaging modalities through data collation, abnormality detection, and referral relevance. Further, AI has the potential to reduce the workload for clinicians while minimizing diagnostic errors and cost.

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