@inproceedings{f4e6ddef508f4f3d9b635f53c8d57d2a,
title = "Exploring Patients{\textquoteright} AI Adoption Intention in the Context of Healthcare",
abstract = "Artificial intelligence (AI) produces positive effects on the productivity and efficiency for organizations and is widely adopted in various contexts. Although individuals{\textquoteright} adoption of new technology has been studied widely, very few studies has been devoted to the adoption of AI in the context of healthcare. Based on technology adoption related theories, the study explains how the proposed factors impact patients{\textquoteright} trust toward AI technology and in turn their adoption attention. Using 304 patients{\textquoteright} sample, we built the conceptual model and conclude that trust toward AI technology, perceived ease of use, relative advantage, and perceived risk in the healthcare background significantly affect AI adoption intention. Our study thus extends the understanding of AI use in the healthcare industry.",
keywords = "AI adoption intention, Healthcare industry, Main factors",
author = "Yiwei Zhu and Shiwei Sun",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Singapore Pte Ltd.; 2nd International Conference on Digital Health and Medical Analytics, DHA 2020 ; Conference date: 25-07-2020 Through 25-07-2020",
year = "2021",
doi = "10.1007/978-981-16-3631-8\_4",
language = "English",
isbn = "9789811636301",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "27--39",
editor = "Yichuan Wang and Wang, \{William Yu\} and Zhijun Yan and Dongsong Zhang",
booktitle = "Digital Health and Medical Analytics - 2nd International Conference, DHA 2020, Revised Selected Papers",
address = "Germany",
}