Medical smart/big data and artificial intelligence aim to filter out the noise and produce valuable data, which can be effectively used by doctors and governments for planning, monitoring, and intelligent decision making. Although unprecedentedly large amount of medical data can be collected with the advancement of the information systems and sensor devices, the key is to explore how big data can become smart data and offer intelligence. Advanced big data modeling and analytics are indispensable for discovering the underlying structure from retrieved data and further providing more intelligent medical services.

This is a special session of the 6th International Conference on Smart Data. This special session aims to collect the latest original contributions in medical Smart/Big data and artificial intelligence, and offer new ideas, experiences and discussions by experts in this field. We encourage the submission of papers with new theory, analysis, methods, and applications.

All papers need to be submitted electronically through the conference submission website in PDF format at https://edas.info/N27620. Each paper is limited to 8 pages (or 10 pages with over-length charge) for a main conference paper, 6 pages for a workshop paper, and 2-4 pages for a poster paper including figures and references using the IEEE Computer Society Proceedings manuscripts style (two columns, single-spaced, font size 10). Accepted conference papers will be published by IEEE (IEEE-DL and EI indexed). Selected papers, after further extensions and revisions, will be nominated to publish at various special issues of SCI and EI journals. More details can be found at the conference website: http://cse.stfx.ca/~cybermatics/2020/smartdata/