Researchers aim to use AI for early screening and prognosis of Dry Eye Disease

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Researchers aim to use AI for early screening and prognosis of Dry Eye Disease
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Dry Eye Disease (DED) is one of the more common eye diseases, affecting up to 30% of the world's population.

Apr 23 2024Tsinghua University Press Dry Eye Disease is one of the more common eye disease s, affecting up to 30% of the world's population. This disease can affect many different types of people and can wind up being a great hindrance to their overall quality of life. Early screening and prognosis is vital to the patient's progression with the disease. However, this can be difficult.

While the ophthalmologists set the guidelines regarding the framework of the disease and flags for diagnosis, the AI does a lot of the heavy lifting. Ideally, this AI would use images and videos taken from a user's cell phone to help reach users across the world. The AI can then utilize these images, as well as risk factors in the patient's life, to make a smart and well-informed prognosis.

"However, there are still challenges for engineers to select the diagnostic standards and combinations of different types of datasets. By using trustworthy algorithms, images and videos captured from phones for accessibility purposes, a holistic approach to healthcare for early screening is possible," said Wang.

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