Machine learning enables update to pediatric neurorehabilitation  

作　　者：Yunfang He Simian Cai Tingting Peng Yan Qiao Naiqi Wu Kaishou Xu 

机构地区：[1]Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems,Macao University of Science and Technology,Taipa,Macao,China [2]Department of Rehabilitation,Guangzhou Women and Children’s Medical Center,Guangzhou Medical University,Guangzhou 510120,Guangdong,China

出　　处：《Pediatric Investigation》2024年第3期237-239,共3页儿科学研究(英文)

基　　金：supported by the Featured Clinical Technique of Guangzhou(2023C-TS59);the Natural Science Foundation of Guangdong Province(2021A1515012543);the Scientific and Technological Planning Project of Guangzhou City(2024A03J01274)

摘　　要：Emerging new technologies are reshaping healthcare.At the cutting edge of this transformation stands artificial intelligence,which has presented the potential to significantly enhance healthcare outcomes.As a pivotal branch of artificial intelligence,machine learning(ML)involves the development of intelligent algorithms with self-improvement through experience.In recent years,ML has been shown to be instrumental in tackling complex challenges in numerous medical domains,that is,disease diagnosis,1 medical device development,2 and biological networks.3 As we will discuss below,there are opportunities for moving the field forward by integrating pediatric neurorehabilitation with novel ML approaches.

关 键 词：artificial intelligencemachine learning ml involves pediatric neurorehabilitation healthcare outcomes machine learning enhance healthcare outcomesas artificial intelligence intelligent algorithms development intelligent algorithms 

分 类 号：R49[医药卫生—康复医学]