Issue |
E3S Web Conf.
Volume 110, 2019
International Science Conference SPbWOSCE-2018 “Business Technologies for Sustainable Urban Development”
|
|
---|---|---|
Article Number | 02028 | |
Number of page(s) | 8 | |
Section | Environmental Management and Economics | |
DOI | https://doi.org/10.1051/e3sconf/201911002028 | |
Published online | 09 August 2019 |
Opportunities and challenges of artificial intelligence in healthcare
Peter the Great St.Petersburg Polytechnic University, Polytechnicheskaya, 29, St. Petersburg, 195251, Russia
* Corresponding author: alissa.dubgorn@gmail.com
In this article, an overview of existing cases of usage of artificial intelligence (hereinafter AI) in healthcare is made, and opportunities of AI technologies and challenges one may face while embedding and using them are studied. In literature, there are several definitions of AI given in different dictionaries and studies. These definitions are mentioned in the article. In the framework of this article, AI is understood as the capability of a machine to imitate intelligent human behavior. The object of the research is AI in healthcare. The goal of the research is to make a representation of current usage of AI in healthcare. The goal is concretized by the following tasks: to classify AI systems used in healthcare and to make a world map of top AI startups in this field. The method used for the research is statistical observation by studying of sources about current projects in AI market.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.