人工智能应用于癫痫的全球研究进展与发展趋势

Global research progress and trends of artificial intelligence applications in epilepsy

随着人工智能(Artificial intelligence,AI)技术的发展,AI在医学领域的应用已经取得了长足的进步。国外期刊在AI应用于癫痫的研究方面已发表了大量论文,而国内期刊在这方面的论文较少。为了解AI应用于癫痫的全球研究进展与发展趋势,本研究以科学引文数据库(Web of Science)核心合集收录且于2022年12月31日前发表的该领域的895篇论文为研究对象,采用文献计量学等方法,分析了年度发文量及其被引次数、发文量最多的作者、机构和国家及其合作关系,并探讨了该领域的研究热点及其未来趋势。研究结果显示,2016年之前,AI在癫痫中应用研究的年发文量增长缓慢,2017年之后,年发文量快速增长。美国发文量最多(273篇),其次为中国(195篇)。发文量最多的机构为英国的伦敦大学(36篇),我国的首都医科大学发文量为23篇。发文量最多的作者为Gregory Worrell(14篇),我国发文量最多的学者是厦门大学的郭嘉阳(7篇)。机器学习在癫痫诊疗中的应用研究是该领域早期的研究热点,而基于脑电图特征提取的癫痫发作预警、深度学习尤其是卷积神经网络在癫痫诊断中的应用、云计算在癫痫健康相关问题中的应用是近期该领域的研究热点。基于AI的脑电图特征提取、深度学习在癫痫诊疗中的应用以及物联网解决癫痫健康有关问题研究是该领域未来的研究方向。

With the development of artificial intelligence(AI)technology,great progress has been made in the application of AI in the medical field.While foreign journals have published a large number of papers on the application of AI in epilepsy,there is a dearth of studies within domestic journals.In order to understand the global research progress and development trend of AI applications in epilepsy,a total of 895 papers on AI applications in epilepsy included in the Web of Science Core Collection and published before December 31,2022 were selected as the research objects.The annual number of papers and their cited times,the most published authors,institutions and countries,and their cooperative relationships were analyzed,and the research hotspots and future trends in this field were explored by using bibliometrics and other methods.The results showed that before 2016,the annual number of papers on the application of AI in epilepsy increased slowly,and after 2017,the number of publications increased rapidly.The United States had the largest number of papers(n=273),followed by China(n=195).The institution with the largest number of papers was the University of London(n=36),and Capital Medical University in China had 23 papers.The author with the most published papers was Gregory Worrell(n=14),and the scholar with the most published articles in China was Guo Jiayan from Xiamen University(n=7).The application of machine learning in the diagnosis and treatment of epilepsy is an early research focus in this field,while the seizure prediction model based on EEG feature extraction,deep learning especially convolutional neural network application in epilepsy diagnosis,and cloud computing application in epilepsy healthcare,are the current research priorities in this field.AI-based EEG feature extraction,the application of deep learning in the diagnosis and treatment of epilepsy,and the Internet of things to solve epilepsy health-related problems are the research aims of this field in the future.