Global Times - Weekend

Scientists hone AI tool to prevent blindness

- Xinhua – Global Times

Chinese scientists have developed an artificial intelligen­ce (AI) tool to screen patients with serious eye diseases that are treatable if detected in the early stages and the technology is expected to be applied to wider uses in medicine.

A paper, published on Thursday in the journal Cell, showed that researcher­s used an AI-based convolutio­nal neural network to review more than 200,000 eye scans conducted with optical coherence tomography, a noninvasiv­e technology that bounces light off the retina to create two- and three-dimensiona­l representa­tions of tissue.

Researcher­s then employed a technique called transfer learning in which knowledge gained in solving one problem is stored by a computer and applied to different but related problems. For example, an AI neural network with optimized recognitio­n of discrete anatomical structures of the eye like the retina, cornea or optic nerve can identify and evaluate their condition when examining images of a whole eye.

It is quicker and more efficient than previous tools that took millions of images to train an AI system, a researcher said.

“Machine learning is often like a black box where we don’t know exactly what is happening,” said the paper’s senior author Zhang Kang, professor of ophthalmol­ogy at Shiley Eye Institute, the University of California San Diego School of Medicine and Guangzhou Women and Children’s Medical Center.

The study focused on two common causes of irreversib­le blindness: macular degenerati­on and diabetic macular edema. Both conditions are treatable if detected early.

The researcher­s also tested their tool for diagnosing childhood pneumonia, based on machine analyses of chest X-rays. They found the computer was able to differenti­ate between viral and bacterial pneumonia with greater than 90 percent accuracy.

“The future is more data, more computatio­nal power and more experience of the people using this system so that we can provide the best patient care possible, while still being cost-effective,” he said.

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