Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS)

W Fan, J Liu, S Zhu, PM Pardalos - Annals of Operations Research, 2020 - Springer
Compared to the booming industry of AIMDSS, the usage of AIMDSS among healthcare
professionals is relatively low in the hospital. Thus, a research on the acceptance and …

Exploring behavioural intentions toward smart healthcare services among medical practitioners: a technology transfer perspective

J Pan, S Ding, D Wu, S Yang, J Yang - International Journal of …, 2019 - Taylor & Francis
Recently, a variety of artificial intelligence (AI)-driven smart healthcare services are rapidly
emerging in the medical market, such as intelligent image analysis, surgical navigation …

Determinants of intention to use artificial intelligence-based diagnosis support system among prospective physicians

AQ Tran, LH Nguyen, HSA Nguyen… - Frontiers in public …, 2021 - frontiersin.org
Background: This study aimed to develop a theoretical model to explore the behavioral
intentions of medical students to adopt an AI-based Diagnosis Support System. Methods …

Social influence on the use of clinical decision support systems: revisiting the unified theory of acceptance and use of technology by the fuzzy DEMATEL technique

DJF Jeng, GH Tzeng - Computers & Industrial Engineering, 2012 - Elsevier
The aim of study is to examine whether social influence affects medical professionals'
behavioral intention to use while introducing a new Clinical Decision Support System …

Promoting Healthcare Workers' Adoption Intention of Artificial-Intelligence-Assisted Diagnosis and Treatment: The Chain Mediation of Social Influence and Human …

M Cheng, X Li, J Xu - … Journal of Environmental Research and Public …, 2022 - mdpi.com
Artificial intelligence (AI)-assisted diagnosis and treatment could expand the medical
scenarios and augment work efficiency and accuracy. However, factors influencing …

From precision education to precision medicine

HC Lin, YF Tu, GJ Hwang, H Huang - Educational Technology & Society, 2021 - JSTOR
Precision medicine has become an essential issue in the medical community as the quality
of medical care is being emphasized nowadays. The technological data analysis and …

An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry

FC Tung, SC Chang, CM Chou - International journal of medical informatics, 2008 - Elsevier
PURPOSE: Ever since National Health Insurance was introduced in 1995, the number of
insurants increased to over 96% from 50 to 60%, with a continuous satisfaction rating of …

Does AI explainability affect physicians' intention to use AI?

CF Liu, ZC Chen, SC Kuo, TC Lin - International Journal of Medical …, 2022 - Elsevier
Abstract 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 …

Using a modified technology acceptance model in hospitals

VP Aggelidis, PD Chatzoglou - International journal of medical informatics, 2009 - Elsevier
PURPOSE: The use of information technology in the health care sector and especially in
hospitals offers great potential for improving the quality of services provided and the …

[PDF][PDF] Implementing artificial intelligence in the United Arab Emirates healthcare sector: an extended technology acceptance model

SF Alhashmi, SA Salloum, C Mhamdi - Int. J. Inf. Technol. Lang. Stud, 2019 - journals.sfu.ca
The United Arab Emirates (UAE) has recently focused on implementing Artificial Intelligence
(AI) projects in the government healthcare sector to help manage chronic diseases and early …