医疗人工智能：知识引导与数据挖掘联合驱动

doi:10.3969/j.issn.1672-6731.2023.01.001

中国现代神经疾病杂志 ›› 2023, Vol. 23 ›› Issue (1): 1-4. doi: 10.3969/j.issn.1672-6731.2023.01.001

2 医疗人工智能：知识引导与数据挖掘联合驱动

巫嘉陵¹, 韩建达²

1. 300350 天津市环湖医院神经内科天津市脑血管与神经变性重点实验室;
2. 300350 天津, 南开大学人工智能学院可信行为智能算法与系统教育部工程研究中心

收稿日期:2023-01-19 出版日期:2023-01-25 发布日期:2023-02-08
通讯作者: 巫嘉陵,Email:wywjl2009@hotmail.com;韩建达,Email:hanjianda@nankai.edu.cn
基金资助:
国家重点研发计划项目（项目编号：2022YFB4702800）；国家自然科学基金资助项目（项目编号：U1913208）；天津市自然科学基金资助项目（项目编号：21JCZDJC00170）；天津市医学重点学科（专科）建设项目（项目编号：TJYXZDXK-052B）

Medical artificial intelligence: driven by the fusion of knowledge-guided and data-mining methodologies

WU Jia-ling¹, HAN Jian-da²

1. Department of Neurology, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Huanhu Hospital, Tianjin 300350, China;
2. College of Artificial Intelligence, Engineering Research Center of Trusted Behavior Intelligence, Ministry of Education, Nankai University, Tianjin 300350, China

Received:2023-01-19 Online:2023-01-25 Published:2023-02-08
Supported by:
This study was supported by National Key Research and Development Program of China (No. 2022YFB4702800), the National Natural Science Foundation of China (No. U1913208), Natural Science Foundation of Tianjin (No. 21JCZDJC00170), and Tianjin Medical Key Discipline (Specialty) Construction Project (No. TJYXZDXK-052B)

摘要/Abstract

摘要： 医疗人工智能将人工智能技术应用于医疗领域，面向临床需求，结合医师临床经验，依靠人工智能技术计算、分析和决策能力，为临床诊断与治疗提供精确的智能辅助。目前医疗人工智能基于知识引导和数据驱动两大类方法，各有优缺点。将知识引导型和数据驱动型人工智能结合，利用各自优势，有望突破医疗人工智能的应用瓶颈，推进医疗人工智能的发展与创新。本文概述知识引导与数据挖掘联合驱动的医疗人工智能应用进展并展望未来发展方向，以期推动人工智能技术在医疗领域的创新和应用。

关键词: 人工智能, 医学, 知识, 数据科学, 综述

Abstract: Medical artificial intelligence (AI) applies AI technology to the medical field to meet clinical needs, combines with the experience of doctors, and relies on the computing, analysis and decisionmaking ability of AI to provide accurate intelligent assistance for clinical diagnosis and treatment. At present, medical AI is based on knowledge guided and data driven approaches, but each has its own advantages and disadvantages. Combining knowledge-guided AI with data-driven AI and utilizing their respective advantages is expected to break through the application bottle neck of medical AI and promote the development and innovation of medical AI. This paper summarizes the application of medical AI driven by knowledge guidance and data mining and looks forward to the future development direction, in order to promote the innovation and application of AI technology in the medical field.

Key words: Artificial intelligence, Medicine, Knowledge, Data science, Review

巫嘉陵, 韩建达. 医疗人工智能：知识引导与数据挖掘联合驱动[J]. 中国现代神经疾病杂志, 2023, 23(1): 1-4.

WU Jia-ling, HAN Jian-da. Medical artificial intelligence: driven by the fusion of knowledge-guided and data-mining methodologies[J]. Chinese Journal of Contemporary Neurology and Neurosurgery, 2023, 23(1): 1-4.

http://journal11.magtechjournal.com/cjcnn/CN/Y2023/V23/I1/1

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