Theme Issue 2020: AI-Powered Security and Privacy in Smart E-Health

With the growing volume of aged who have long-term chronic diseases, people have been focusing on the effective and efficient disease prevention with limited medical infrastructure and services. To tackle this issue, a feasible way is non-stop surveillance of patients’ daily activities and physical conditions to aid quick and accurate disease diagnoses and treatment. In this situation, information technology (IT) has offered a promising way to record the big volume of diagnosis and treatment data generated in daily clinical activities, which benefits us significantly in developing various E-Health applications to satisfy patients’ functional and non-functional health requirements.

However, the big health data collected by IT-based medical equipment place a heavy burden on the secure data management and value-added knowledge mining. How to integrate and analyze the big health data from multiple sources in an accurate, secure and privacy-preserving manner is still a fundamental challenge. Fortunately, Artificial Intelligence (AI) has recently emerged as one of the key technologies to achieve secure data transmission and privacy-aware knowledge extraction. However, the adaptation of AI-based security and privacy-protection solutions are highly demanded to achieve their full potentials in smart E-Health applications.

In this special issue, we look for significant findings in tackling new security and privacy issues that challenge AI-based smart E-Health applications. Specifically, we solicit novel contributions on secure and privacy-aware AI applications in E-Health from a variety of perspectives, e.g., architecture, models, data, algorithms, etc. Potential topics include, but are not limited to, the following:

  • AI-powered big data analytics for E-Health
  • Machine learning and reinforcement learning for E-Health
  • Intelligent data sampling and fusion in E-Health
  • AI algorithms, models and framework for E-Health
  • Smart control system for E-Health applications - Security, trust and privacy in E-Health
  • Cross-platform medical data sharing and integration
  • Industry 4.0 and intelligent manufacture for E-Health
  • Software, hardware and infrastructure supporting E-Health
  • Economy, laws and ethics for E-Health

Questions regarding this Theme Issue should be directed to the Guest Editor, Prof. Sang-Bing Tsai at sangbing@hotmail.com, or the editorial team at ed-support@jmir.org.

How to submit

Please submit to JMIR Medical Informatics by selecting 'Theme Issue 2020: AI-powered Security and Privacy in Smart E-Health' in the "Section" drop-down list.

See also “How do I submit to a theme issue?” in our knowledge base.