[HTML][HTML] Psychosocial factors affecting artificial intelligence adoption in health care in China: cross-sectional study

T Ye, J Xue, M He, J Gu, H Lin, B Xu… - Journal of medical Internet …, 2019 - jmir.org
Background Poor quality primary health care is a major issue in China, particularly in
blindness prevention. Artificial intelligence (AI) could provide early screening and accurate …

[HTML][HTML] Perceptions and needs of artificial intelligence in health care to increase adoption: scoping review

HSJ Chew, P Achananuparp - Journal of medical Internet research, 2022 - jmir.org
Background Artificial intelligence (AI) has the potential to improve the efficiency and
effectiveness of health care service delivery. However, the perceptions and needs of such …

[HTML][HTML] Attitudes of medical workers in China toward artificial intelligence in ophthalmology: a comparative survey

B Zheng, M Wu, S Zhu, H Zhou, X Hao, F Fei… - BMC Health Services …, 2021 - Springer
Background In the development of artificial intelligence in ophthalmology, the ophthalmic AI-
related recognition issues are prominent, but there is a lack of research into people's …

[HTML][HTML] Evaluation framework for successful artificial intelligence–enabled clinical decision support systems: mixed methods study

M Ji, GZ Genchev, H Huang, T Xu, H Lu, G Yu - Journal of medical Internet …, 2021 - jmir.org
Background Clinical decision support systems are designed to utilize medical data,
knowledge, and analysis engines and to generate patient-specific assessments or …

[HTML][HTML] Factors influencing patients' intentions to use diabetes management apps based on an extended unified theory of acceptance and use of technology model …

Y Zhang, C Liu, S Luo, Y Xie, F Liu, X Li… - Journal of medical Internet …, 2019 - jmir.org
Background Diabetes poses heavy social and economic burdens worldwide. Diabetes
management apps show great potential for diabetes self-management. However, the …

Organizational, professional, and patient characteristics associated with artificial intelligence adoption in healthcare: A systematic review

A Khanijahani, S Iezadi, S Dudley, M Goettler… - Health Policy and …, 2022 - Elsevier
Objectives This review study was aimed to identify and document organizational,
professional, and patient characteristics influencing the adoption of Artificial Intelligence (AI) …

[HTML][HTML] General practitioners' attitudes toward artificial intelligence–enabled systems: interview study

C Buck, E Doctor, J Hennrich, J Jöhnk… - Journal of medical Internet …, 2022 - jmir.org
Background General practitioners (GPs) care for a large number of patients with various
diseases in very short timeframes under high uncertainty. Thus, systems enabled by artificial …

[HTML][HTML] Health care employees' perceptions of the use of artificial intelligence applications: survey study

R Abdullah, B Fakieh - Journal of medical Internet research, 2020 - jmir.org
Background The advancement of health care information technology and the emergence of
artificial intelligence has yielded tools to improve the quality of various health care …

[HTML][HTML] Determinants of patients' intention to use the online inquiry services provided by internet hospitals: Empirical evidence from China

D Li, Y Hu, H Pfaff, L Wang, L Deng, C Lu, S Xia… - Journal of Medical …, 2020 - jmir.org
Background Internet hospitals show great potential for adequately fulfilling people's
demands for high-quality outpatient services, and with the normalization of the epidemic …

[HTML][HTML] Wearable technology acceptance in health care based on national culture differences: cross-country analysis between Chinese and Swiss consumers

D Yang Meier, P Barthelmess, W Sun… - Journal of medical Internet …, 2020 - jmir.org
Background The advancement of wearable devices and growing demand of consumers to
monitor their own health have influenced the medical industry. Health care providers …