Li Ming, associate professor of electrical and computer engineering at DKU. PROVIDED TO CHINA DAILY An artificial intelligence system jointly developed by the 3rd Affiliated Hospital of Sun Yat-sen University in Guangzhou and the Duke Kunshan University has achieved an 80 percent accuracy rate in screening 120 toddlers who were diagnosed with autism, the team behind the system said during a forum at DKU last week. The system represents a major development in autism screening for children, which is considered a challenge in China due to the lack of experienced pedestrians who can perform an accurate diagnosis. Experts say that early detection and intervention could substantially improve the prognosis of patients. China has more than 10 million children with autism. In the US, the estimated autism prevalence in 2018 is one in 59. It's quite hard for doctors to tell whether a two-year-old is autistic or not as there is no single cause for identification or a biomarker, said Zou Xiaobin, director of Child Behavior Development Center of the 3rd Affiliated Hospital of Sun Yat-sen University. A diagnosis is completely reliant on a doctor's observation of the toddler's behavior. The AI system was tested on 120 two-year-olds between last year and early this year. The toddlers were accompanied by their mothers in a room and their behaviors were recorded and analyzed by audio and video systems. Eye-tracking technology was also used. Doctors said that unlike normal children, an autistic child lacks the ability to pay attention to people's eyes. A number of indicators were included in the system for the screening, said Li Ming, associate professor of electrical and computer engineering at DKU who is responsible for the development of the AI system. The indicators include whether the toddlers responded by raising their heads or answering when they were called by their names, whether they gazed at their mothers or stood up to follow when their mothers left the room, and whether they made eye contact or followed their mothers' visual cues, Li said. Li said he was confident that the accuracy rate will be improved by at least 10 percent following upgrades to the machine learning system and data processing technology. Obtaining a bigger pool of samples is crucial as well. The more the machine learns, the higher its accuracy will be, Li said. Contact the writer at [email protected] jordan wristband rubber
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A total of 839 controlled knives Guangzhou customs seized were destroyed in the Guangdong provincial capital on Thursday, demonstrating customs officers' determination to fight against the smuggling of controlled knives in the southern metropolis. The knives which included soldier's swords, spring knives, choppers and sabres might have posed a very serious threat to the lives and safety of local residents if they had been smuggled into the city, according to Wu Xiaobo, deputy director of the Anti-Smuggling Bureau with Guangzhou Customs. "The knives were seized while they were being brought into the city by lawbreakers and suspected smugglers, being smuggled into Guangdong province in its waters and being mailed via express mail service to Guangzhou since 2015," Wu said at a press conference in Guangzhou. She hinted at the possibility of increasing special operations to fight against smuggling involving controlled knives in the months ahead to ensure a good and sound social security for the city's economic construction. Customs in Guangzhou which is the southern gateway to the mainland have detained 10 suspects after cracking down on eight major knife smuggling cases since 2015. Customs officers in Guangzhou Baiyun International Airport seized a total of 193 controlled knives in an inspection on express mail coming from Nepal in May last year. The shortest reached 12.6 centimeters while the longest of the controlled knives came to 28.1 centimeters. And Dachan customs under the administration of Guangzhou customs also seized a large number of soldier's swords and daggers when they inspected two vessels in the waters at the mouth of the Pearl River in a recent anti-smuggling campaign.
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