EAI Endorsed on

SPECIAL ISSUE CALL-FOR-PAPERS

SPECIAL ISSUE ON: Medical Big Data and Information Management

SCOPE:With the rapid development of information technology, the medical industry generates a huge amount of data, including patient medical records, imaging data, genetic information and so on. Effective management and utilization of these data is of great significance in improving the quality of medical services, optimizing the allocation of medical resources, and promoting the progress of medical research. Medical big data analysis can help doctors diagnose diseases more accurately and formulate personalized treatment plans, and it can also play an important role in epidemic prediction and public health management. However, the collection, storage, analysis and application of medical big data are also facing challenges such as data security, privacy protection and ethical norms, and it is necessary to establish a sound system of laws, regulations and standards to ensure the safe, reliable and reasonable use of data, and to promote the healthy and sustainable development of medical big data and information management.

TOPICS:

Artificial Intelligence in Healthcare

Application and Optimization of Medical Information Management Systems

Medical Data Privacy Protection and Security Technologies

Application of Medical Big Data Analysis in Case Management

Medical Data Information Processing Technologies

Pathological Data Analysis and Prediction

IMPORTANT DATES 

Manuscript submission deadline: July 15, 2025

Notification of acceptance: August 15, 2025

Submission of final revised paper: August 23, 2025

Publication of special issue (tentative): December, 2025

MAIN GUEST EDITOR: Prof. Dr. Zhisheng Huang, Department of Computer Science, Faculty of Sciences, Vrije University of Amsterdam. 

Bio: Prof. Zhisheng Huang is a Professor in the Department of Computer Science at Vrije Universiteit Amsterdam, the Netherlands. His research focuses on semantic web, knowledge graphs, artificial intelligence, and data integration. He has led or participated in several national and EU-funded projects related to ontology engineering, linked data, and AI applications in smart cities and healthcare. Prof. Huang is also the initiator of the "Tree Hole Rescue" project, an AI-driven mental health initiative that uses natural language processing and machine learning to monitor social media platforms and detect suicide risks in real time.

GUEST EDITORS: Prof. Zhou Yi, Department of Medical Informatics, Sun Yat-Sen University