Aims and Scope

In recent years, with the explosive growth of medical data and the in-depth impact of information technology with artificial intelligence as the core on medical industry, data management and application capabilities have become one of the core capabilities of hospitals, and the level of data governance will surely become a direct manifestation of the comprehensive strength of a hospital. With the help of artificial intelligence technology, the research and practice of realizing hospital data governance is still in its infancy. Data governance provides a more standardized model for data accumulation, such as continuous collection, precipitation, and classification; medical artificial intelligence requires deep learning evolution through a large number of medical data operations, so it is inseparable from the support of big data technology and data governance.

Guest Editors

Prof. Siwei Yu

School of Clinical Medicine, Guizhou Medical University, China

E-mail: manfisy@163.com

Prof. Xi Chen

Big Data Research Center, University of Electronic Science and Technology, China

E-mail: chenxi@standata.cn

Prof. Hao Fan

School of Information Management, Wuhan University, China

E-mail: hfan@whu.edu.cn

Prof. Long Lu

University of Cincinnati, U.S.A.

Email: bioinfo@gmail.com

Prof. Zhisheng Huang

Vrije University Amsterdam, Netherlands

E-mail: huangzhishengnl@gmail.com

The potential topics of this special issue include, but are not limited to:

• Metadata management

• Master data management

• Medical terminology service

• Analysis of electronic medical records

• Medical data discovery

• Medical data quality control

• Medical knowledge graph construction

• Health data governance in relation to AI/machine learning

• Data privacy and data security

• Health application based on Metadata

Important Dates

• Submission of papers: 15 December 2023

• Notification of review results: 01 February 2024

• Submission of revised papers: 01 April 2024

• Notification of final review results: 01 May 2024

Submit Your Paper

To access the online submission site for the journal, please visit: http://2022.oapublishing-jaims.com/JAIMS/guidelines. Instructions will be provided on screen and you will be stepwise guided through the process of uploading all the relevant article details and files associated with your submission. All manuscripts must be in the English language.

Note that if this is the first time that you submit to the Journal of Artificial Intelligence for Medical Sciences, you need to register as a user of the Editorial Manager system first.

NOTE : Before submitting your paper, please make sure to review the journal's Author Guidelines first.

Introduction of the Guest Editors

Prof. Siwei Yu

Dr. Siwei Yu  is an associate professor of Guizhou Medical University, director of Smart Hospital Construction Office of Guizhou Provincial People's Hospital, distinguished researcher of Information Resources Research Center of Wuhan University, researcher of Big Data Research Institute of Wuhan University, distinguished ICT industry teaching expert of Huawei Management Training, co-sponsor of Open Medical and Health Alliance (OMAHA) and chairman of Document Format Working Group. He has deep attainments in hospital information system construction and management, medical knowledge management,  regional health informatization construction, health e-government, health care big data, medical artificial intelligence and intelligent medical education.

Xi Chen，Ph.D.

Xi Chen, Ph.D. in public health, University of Montpellier, France, visiting researcher at the Big Data Center of the University of Electronic Science and Technology of China, founder and CEO of Chengdu Zhixin Electronic Technology Co., Ltd., has been committed to the field of medical data governance, especially for artificial intelligence. Research, has obtained 4 related invention patents.

Prof.Long Lu

Long Lu is currently a professor at the School of Information Management and the Director of the Health Big Data Research Center at Wuhan University. Dr. Lu’s laboratory focuses on research in biomedical informatics and healthcare big data analysis and application. Dr. Lu has received >$6-million research funding from the US National Institutes of Health (NIH), the US National Science Foundation (NSF) and private foundations. He has led or participated in more than 10 major state-level research projects funded by national talent plans, the Key R&D plan of the Ministry of Science and Technology of China, the National Science Foundation of China, and the National Social Science Fund of China. He has published >80 high-quality SCI papers in prestigious journals including Science and Information Sciences (H-index 32, cited >4000 times), and holds numerous domestic and foreign patents. He has been invited to serve as a grant reviewer of US NIH, US NSF, Canadian NSERC, French ANR, Polish NCN and Hong Kong ITC.

Prof.Zhishen Huang

Professor Zhisheng Huang is a tenured senior researcher at Computer Science Department of VU University Amsterdam, the Netherlands. He is also a full professor at School of Computer Science and Engineering, Wuhan University of Science and Technology, China. His research interests include Semantic Web technology, knowledge graphs, and ontology engineering, Artificial Intelligence for medicine, and medical informatics. Prof. Huang has published about 300 papers in journals/conferences/workshops, served as a member of programme/organising committee for over 200 international conferences/workshops. He is the editor-in-chief of Journal of Artificial Intelligence for Medical Sciences.