Guest Editorial: Special issue on “Application of artificial intelligence in health research”

Siuly, S., Zhang
Health Inf Sci Syst, (2020)

Keywords

Artificial intelligence, computer science, 

Abstract


Artificial intelligence (AI) is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks the typically require human intelligence. With the rapid advance of technology, AI are becoming increasingly important in almost every real-world impact across various industries, including treatments and healthcare. The applications of AI techniques have sent vast waves across health challenges. AI is being used or trialled for a range of healthcare and research purposes, including detection of disease, management of chronic conditions, delivery of health services, and drug discovery etc.

Modern health treatments are faced with the challenge of acquiring, analysing and applying the large amount of knowledge necessary to solve complex problems. AI in health mainly uses computer techniques to perform clinical diagnoses and suggest treatments. The key objective of this special issue is to present the applications of AI in health research section including the views of leading researchers in the field. This special issue (S.I.) showcases some of the recent developments and novel applications of AI in health fields. This S.I. will provide a forum for the publication of articles that address broad challenges on both theoretical and application aspects of AI in health research. In this issue, we invite scholars and researchers to contribute original research articles that will stimulate the continuing effort on the application of AI approaches to solve health problems.

The open call for this special issue has attracted sixteen papers (16) covering broad range of artificial intelligence technologies and its applications. After two rounds (at least) of peer-reviews by a team of international experts, 14 papers were selected to be included in this special issue. Those accepted papers represent a wide spectrum of research under the theme of the special issue. In “Summary of accepted papers” section, we present a brief summation of the selected papers for this special issue and “Conclusion” section provides concluding remarks.


Code

10.1007/s13755-019-0089-x

Sources

Website PDF