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| 人工智能临床决策支持系统在脑血管病中的应用 | |
| 引用本文： | 丁玲玲,李子孝,王拥军. 人工智能临床决策支持系统在脑血管病中的应用[J]. 中国卒中杂志, 2020, 15(3): 290-295. DOI: 10.3969/j.issn.1673-5765.2020.03.011 |
| 作者姓名： | 丁玲玲 李子孝 王拥军 |
| 作者单位： | 100070 北京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；北京脑重大疾病研究院脑卒中研究所；脑血管病转化医学北京市重点实验室；国家神经系统疾病医疗质量控制中心 |
| 基金项目： | 科技部“十三五”重点研发计划（2017YFC1310901，2016YFC0901002，2017YFC1307905，2015BAI12B00）中国医学科学院脑血管病人工智能研究创新单元（2019RU018）北京市科学技术委员会基于人工智能的脑血管病临床诊疗决策研究（Z201100005620010）北京市百千万人才项目（2018A13）北京市青年拔尖人才项目（2018000021223ZK03） |
| 摘 要： | 随着科学技术的发展，人工智能（artificial intelligence，AI）应用于脑血管医疗领域将有助于减轻中国不断加剧的脑血管病疾病负担。临床决策支持系统（clinical decision support system，CDSS）是AI在医疗领域的一项重要实践应用。利用AI和医疗大数据开发临床决策支持工具，并通过将临床信息与知识库相匹配，提供基于循证证据的优化诊疗方案。在脑血管病的临床诊疗过程中，CDSS可以辅助高危人群识别、急性期再灌注治疗决策支持、实现自动化病因分型以及二级预防策略的制定等，在提高脑血管病的医疗质量、改善患者结局方面发挥重要作用，可能成为未来脑血管病疾病管理的一项重要辅助工具。 |
| 关 键 词： | 临床决策支持系统 人工智能 脑血管病 医疗质量 |
| 收稿时间： | 2020-01-10 |
Application of Clinical Decision Support System in the Management of Cerebrovascular Disease |
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| DING Ling-Ling,LI Zi-Xiao,WANG Yong-Jun. Application of Clinical Decision Support System in the Management of Cerebrovascular Disease[J]. Chinese Journal of Stroke, 2020, 15(3): 290-295. DOI: 10.3969/j.issn.1673-5765.2020.03.011 | |
| Authors: | DING Ling-Ling LI Zi-Xiao WANG Yong-Jun |
| Affiliation: | (Department of Neurology,Beijing Tian Tan Hospital,Capital Medical University,China National Clinical Research Center for Neurological Diseases,National Center for Healthcare Quality Management in Neurological Diseases,Beijing 100070,China) |
| Abstract: | With the development of science and technology, artificial intelligence (AI) will help reduce the increasing burden of cerebrovascular disease. Clinical decision support system (CDSS) is one of important applications of AI technology in medical care, using AI and big medical data can develop clinical decision support tools and provide evidence-based optimized diagnosis and treatment regimen by matching clinical information to the knowledge base. CDSS can assist in clinical diagnosis and treatment of cerebrovascular diseases, including early identification of highrisk subjects, decision support for acute reperfusion therapy, automatic classification of stroke subtype, and secondary prevention strategies, etc. It can play an important role in improving the quality of medical care and outcome of patients. CDSS may become an essential assistant tool for the management of cerebrovascular diseases in the future. |
| Keywords: | Clinical decision support system,Artificial intelligence,Cerebrovascular disease Medical quality, |
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