神经发育障碍的早期自动化筛查技术

Early automated screening technology of neurodevelopmental disorders

神经发育障碍是婴幼儿期发生的一种中枢神经系统慢性疾病。由于其深层病因未明,早期症状隐秘,致使很多患儿漏诊、误诊,错过3岁前的最佳干预期。该文通过梳理神经发育障碍的传统筛查技术和早期自动化筛查技术研究,提出建议:借助我国手机端人工智能识别技术优势,利用躯体协调运动和眼球自主运动两个客观指标,开发神经发育障碍的早期自动化筛查技术,将有助于及早发现高风险群体。

Neurodevelopmental disorders,which occur in infancy,are chronic disorders of the central nervous system.With an unknown underlying cause and insidious early symptoms,many children were underdiagnosed and misdiagnosed.The affected infants missed the optimal intervention period before the age of 3 years.This paper reviews researches of the traditional screening techniques and early automated screening techniques for neurodevelopmental disorders and presents the following guidelines.Using two objective indicators of body coordinated movements and eye autonomous movements,with the advantage of artificial intelligence recognition technology in mobile phones,it is possible to develop early automated screening technologies for neurodevelopmental disorders.These would help identify high-risk groups early.