ISSN 1674-3865  CN 21-1569/R
主管:国家卫生和计划生育委员会
主办:中国医师协会
   辽宁省基础医学研究所
   辽宁中医药大学附属医院

Chinese Pediatrics of Integrated Traditional and Western Medicine ›› 2026, Vol. 18 ›› Issue (1): 6-11.doi: 10.20274/j.cnki.issn.1674-3865.2026.01.002

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Research advances in neurobehavioral assessment and early intervention for preterm infants

Danyang QU, Yuqian WANG, Liu YANG()   

  1. The Second Hospital of Dalian Medical University, Dalian 116021,China
  • Received:2025-06-10 Revised:2025-07-13 Published:2026-02-25 Online:2026-02-25
  • Contact: Liu YANG E-mail:439140628@qq.com
  • Supported by:
    The National Natural Science Foundation of China(82201896)

Abstract:

Premature infants often face the risk of neurodevelopmental disorders because they do not complete the key neurodevelopmental stage of full-term pregnancy. Neurobehavioral assessment refers to the early identification of developmental risks through neonatal motor examination (such as spontaneous movement, postural control and reflex behavior) and scale tools (such as NBNA, TIMP, GMS, etc.), which can provide effective intervention basis for clinical practice. Multimodal early intervention strategies, including desensitization therapy, postural management, audiovisual and exercise training, can effectively improve the developmental prognosis of premature infants in the critical period of neuroplasticity. With the progress in science and technology, artificial intelligence (AI) has been widely used in the field of neurobehavioral assessment and early intervention. AI can not only assist neurobehavioral assessment and early intervention therapy, but also help to establish the system of neurodevelopmental follow-up. Although the existing clinical practice has shown significant results, it is still necessary to strengthen multidisciplinary collaboration to develop a more reasonable and effective intervention model. It is expected to achieve a more perfect early intervention system in the future to further improve the neurodevelopmental prognosis of premature infants.

Key words: Premature infants, Neurodevelopment, Neurobehavioral assessment, Early intervention, Artificial intelligence

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