Journal
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
Volume 168, Issue -, Pages -Publisher
ELSEVIER IRELAND LTD
DOI: 10.1016/j.ijmedinf.2022.104884
Keywords
Physician; Artificial intelligence (AI); AI explainability (XAI); Behavioral intention; Technology trust; Perceived value
Categories
Funding
- Ministry of Science and Technology of Taiwan
- [MOST110-2410-H-384-001]
Ask authors/readers for more resources
This study proposes and validates a conceptual model that explores physicians' intention to use AI, with XAI as a antecedent variable of technology trust (TT) and perceived value (PV). The results show that XAI has significant impact on physicians' intention to use AI, and TT and PV also play important roles.
Background: Artificial Intelligence (AI) is increasingly being developed to support clinical decisions for better health service quality, but the adoption of AI in hospitals is not as popular as expected. A possible reason is that the unclear AI explainability (XAI) affects the physicians' consideration of adopting the model. Purpose: To propose and validate an innovative conceptual model aimed at exploring physicians' intention to use AI with XAI as an antecedent variable of technology trust (TT) and perceived value (PV).Methods: A questionnaire survey was conducted to collect data from physicians of three hospitals in Taiwan. Structural equation modeling (SEM) was used to validate the proposed model and test the hypotheses.Results: A total of 295 valid questionnaires were collected. The research results showed that physicians expressed a high intention to use AI. The XAI was found to be of great importance and had a significant impact both on AI TT and PV. We also observed that TT in AI had a significant impact on PV. Moreover, physicians' PV and TT in AI had a significant impact on their behavioral intention to use AI (BI). However, XAI's impact on BI cannot be proved.Conclusions: The conceptual model developed in this study provides empirical evidence that could be used as guidelines to effectively explore physicians' intention to use medical AI from the antecedent of XAI. Our findings contribute crucial AI-human interaction insights in health care studies.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available