​How Successful is AI In Treating Corneal Diseases?

AI and the detection of corneal diseases go hand in hand. Recent technologies combined with Optical Coherence Tomography and visual field examinations powerfully detect retinal and corneal abnormalities and their performances. Artificial Intelligence helps ophthalmologists to diagnose diseases accurately and help to make the right decisions regarding ophthalmic diseases like cataracts, age-related macular degeneration, diabetic retinopathy, corneal ulcers, and other corneal diseases.

Artificial Intelligence for Visually Impaired

Apart from assisting ophthalmologists, there are various AI technologies to help the blinds as well. Interpreting videos and images with the use of computer algorithms or translating information as audio output and into Braille, AI has successfully helped the visually impaired.

AI Success Rate

Do you know that AI can help in the early detection of Keratoconus? It is now possible to detect, grade, diagnose, measure, and categorize the features of dry eye syndrome. Although, there is substantial inconsistency in the reporting methods, result metrics, and patient population. According to the NCBI studies, the AI performance had a diagnostic accuracy of 70%.

Despite a few inaccuracies, Big Data Analytics and Artificial Intelligence assist in complete and timely investigations of trends, features, results, and predictive factors of corneal diseases.

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