Artificial Intelligence and Visual Analytics in Healthcare Informatics

We are living in the age of data science (DS), whereas the uses of massive amounts of data are rapidly increasing in many applications. The analysis of these data is grimy, irreconcilable, and complex. New advancements such as Artificial Intelligence (AI) and Visual Analytics (VA) have proven increasingly efficient and effective in analyzing and visualizing potential insights in many applications to address these data issues. To strengthen scientific contributions, this Research Topic intends to bring together researchers and developers from academic and practical fields and industries worldwide to develop robust visual analytics.

The Research Topic aims to publish recent works in Artificial Intelligence and Visual Analytics in Healthcare Informatics. The special issue topics include, but are not limited to, those addressing the following issues.

We welcome the submission of manuscripts including, but not limited to, the following topics: Special focus will be given (but is not restricted) to:

• Artificial Intelligence in Healthcare Informatics.

• Robust tools for visualization.

• Deep learning for Healthcare Informatics.

• Pattern mining for Healthcare Informatics.

• Novel use of visualization in solving diverse problems.

• Robust interaction techniques for Healthcare Informatics.

• Robust methods for behaviour analysis and visualization.

• Robust methods for visualization recommendations.

• Robust intelligent systems

Keywords: AI, artificial intelligence, visual analytics, healthcare informatics

Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.