人工智能在神经系统疾病中的应用

丁玲玲 , 李子孝 , 王拥军*
首都医科大学附属北京天坛医院神经病学中心,国家神经系统疾病临床医学研究中心,国家神经系 统疾病医疗质量控制中心,中国医学科学院脑血管病人工智能研究创新单元,北京 100070

摘 要:

人工智能技术的发展为神经系统疾病的诊疗及研究提供了新的方向。近年来,人工智能在神经系统疾病的诊断、风险预测、治疗决策、康复和预后评估等方面的应用均取得了重要进展。神经系统疾病存在复杂性和多样性,目前人工智能在神经系统疾病中的研究多集中在基于多组学医疗大数据探索神经系统疾病发生、发展的规律,实现疾病精准诊疗;构建有效的临床辅助决策工具;采用人工智能助力神经系统疾病新药研发等。未来研究需要进一步应用人工智能技术解决神经系统疾病临床实践中存在的关键问题,通过新技术改进医疗流程、创新医疗服务模式,从而改善患者疾病预后。

通讯作者:王拥军 , Email:yongjunwang@ncrcnd.org.cn

Application of artificial intelligence in nervous system diseases
DING Ling-Ling , LI Zi-Xiao , WANG Yong-Jun*
Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases, National Center for Healthcare Quality Management in Neurological Diseases, Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing 100070, China

Abstract:

The development of artificial intelligence technology provides a new direction for the diagnosis,
treatment, and research of nervous system diseases. In recent years, the application of artificial intelligence in the diagnosis, risk prediction, treatment decision-making, rehabilitation and prognosis evaluation of nervous system diseases has made important progress. The nervous system diseases are complex and diverse. Most current researches focus on using the established multi-omics data to study the occurrence, development, and prognosis of nervous system diseases, designing and developing decision-making support tools, and applying artificial intelligence technology in the research and development of new drugs for nervous system diseases. In the future research, artificial intelligence and new technologies could be used to solve the key problems existing in the clinical practice of nervous system diseases and to improve medical service, thus improving the prognosis of patients with nervous system disease.

Communication Author:WANG Yong-Jun , Email:yongjunwang@ncrcnd.org.cn

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