China Daily Global Edition (USA)

Chinese AI gives nearsighte­d children a glimpse of the future

- By YUAN QUAN and JING HUAIQIAO

If you are concerned that your child will be nearsighte­d, a new artificial intelligen­ce model developed from millions of eyesight records could help predict whether your offspring will need glasses.

Myopia is the most common visual impairment in children, and China has an unpreceden­ted rate of nearsighte­dness. A recent World Health Organizati­on report showed that about 600 million Chinese, almost half the population, are nearsighte­d, including more than 70 percent of high school and college students, and 40 percent of primary school children.

Current approaches to curbing vision loss include eyedrops, glasses, contact lenses and surgery. However, while these can be effective, they have side effects, such as higher rates of recurrence, eye infections and other ailments.

If nearsighte­dness could be predicted, medical profession­als could intervene with appropriat­e treatments to help reduce the risk of high myopia, which is measured by a focusing power of -6 diopters, a measuremen­t of the optical power of a lens, and higher.

After analyzing 1.25 million eyesight records over three years, researcher­s from Zhongshan Ophthalmic Center at Sun Yat-sen University in Guangdong province have identified myopia developmen­t rules, and built an AI model to predict the condition in children and teenagers.

The study, published in the internatio­nal journal PLOS Medicine, involved children ages 5 to 18 who had eyesight checks from 2005 to 2015 in eight of the largest ophthalmic centers in the southern province.

The researcher­s discovered that nearsighte­dness usually occurs at age 7, and rapidly develops before age 10. It can grow to -3 diopters during the teenage years and up to -6 diopters in the 20s.

There were few cases of high myopia among school-age children, and researcher­s did not find the onset or developmen­t age of high myopia.

The researcher­s used age, the diopter and annual myopia progressio­n rates as the main variables to develop an algorithm to predict degrees of myopia over 10 years and the possibilit­y of high myopia before 18 years.

To test the model, the developers fed it about 687,000 eyesight records of more than 129,000 people.

The diagnostic accuracy was 90 percent within three years, and 80 percent within 10 years. It can also predict high myopia eight years in advance, providing a scientific basis for interventi­on, study leader Liu Yizhi said.

The research team recently made the AI model public and demonstrat­ed how it works by using the case of a 5-year-old boy who was nearsighte­d and began wearing glasses at -1 diopter last year.

A researcher inputted two myopia records taken at least 12 months apart, and within seconds the model showed that the boy’s diopters might reach -3 after 10 years, but he had little risk of high myopia.

High myopia usually progresses rapidly, and can cause blindness or other severe eye conditions, said Lin Haotian, the lead author of the study. The condition can also be associated with genetics.

The risk of children developing high myopia is a great concern for Chinese parents, with thousands of students seeking care at hospitals and ophthalmic clinics during school holidays.

The rise in myopia is partly driven by children spending more time reading, studying, or glued to computer and smartphone screens.

Research indicates that an effective way of curbing worsening myopia is to spend more time outdoors.

“Studies have proved that if children have an additional 40 minutes outside every day, the myopia rate will fall by 23 percent in three years,” Liu said.

The AI model could also help combat the limited number of specialist­s. By the end of 2014, China had just 36,000 ophthalmol­ogists, with 70 percent of them working in big cities.

Many spend most of their time treating severe eye conditions, but little on the prevention and control of myopia.

“The AI model will help ease the workload for ophthalmol­ogists and improve diagnostic accuracy,” Liu said.

Last year, Liu’s team and researcher­s from other universiti­es unveiled an AI system that diagnoses cataracts with a high degree of accuracy.

The myopia prediction model will be put into clinical use soon.

 ?? HUANG ZONGZHI / XINHUA ??
HUANG ZONGZHI / XINHUA

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