These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
292 related articles for article (PubMed ID: 34591029)
1. Radiation Oncologists' Perceptions of Adopting an Artificial Intelligence-Assisted Contouring Technology: Model Development and Questionnaire Study. Zhai H; Yang X; Xue J; Lavender C; Ye T; Li JB; Xu L; Lin L; Cao W; Sun Y J Med Internet Res; 2021 Sep; 23(9):e27122. PubMed ID: 34591029 [TBL] [Abstract][Full Text] [Related]
2. Psychosocial Factors Affecting Artificial Intelligence Adoption in Health Care in China: Cross-Sectional Study. Ye T; Xue J; He M; Gu J; Lin H; Xu B; Cheng Y J Med Internet Res; 2019 Oct; 21(10):e14316. PubMed ID: 31625950 [TBL] [Abstract][Full Text] [Related]
3. Predictors of Health Care Practitioners' Intention to Use AI-Enabled Clinical Decision Support Systems: Meta-Analysis Based on the Unified Theory of Acceptance and Use of Technology. Dingel J; Kleine AK; Cecil J; Sigl AL; Lermer E; Gaube S J Med Internet Res; 2024 Aug; 26():e57224. PubMed ID: 39102675 [TBL] [Abstract][Full Text] [Related]
4. Factors Influencing Patients' Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey. Zhang Y; Liu C; Luo S; Xie Y; Liu F; Li X; Zhou Z J Med Internet Res; 2019 Aug; 21(8):e15023. PubMed ID: 31411146 [TBL] [Abstract][Full Text] [Related]
5. Nursing students' intent to use AI-based healthcare technology: Path analysis using the unified theory of acceptance and use of technology. Kwak Y; Seo YH; Ahn JW Nurse Educ Today; 2022 Dec; 119():105541. PubMed ID: 36116387 [TBL] [Abstract][Full Text] [Related]
6. The Mediating Influence of the Unified Theory of Acceptance and Use of Technology on the Relationship Between Internal Health Locus of Control and Mobile Health Adoption: Cross-sectional Study. Ahadzadeh AS; Wu SL; Ong FS; Deng R J Med Internet Res; 2021 Dec; 23(12):e28086. PubMed ID: 34964718 [TBL] [Abstract][Full Text] [Related]
7. Determinants of Intention to Use Artificial Intelligence-Based Diagnosis Support System Among Prospective Physicians. Tran AQ; Nguyen LH; Nguyen HSA; Nguyen CT; Vu LG; Zhang M; Vu TMT; Nguyen SH; Tran BX; Latkin CA; Ho RCM; Ho CSH Front Public Health; 2021; 9():755644. PubMed ID: 34900904 [No Abstract] [Full Text] [Related]
8. The Drivers of Acceptance of Artificial Intelligence-Powered Care Pathways Among Medical Professionals: Web-Based Survey Study. Cornelissen L; Egher C; van Beek V; Williamson L; Hommes D JMIR Form Res; 2022 Jun; 6(6):e33368. PubMed ID: 35727614 [TBL] [Abstract][Full Text] [Related]
9. Does AI explainability affect physicians' intention to use AI? Liu CF; Chen ZC; Kuo SC; Lin TC Int J Med Inform; 2022 Dec; 168():104884. PubMed ID: 36228415 [TBL] [Abstract][Full Text] [Related]
10. Analyzing the determinants to accept a virtual assistant and use cases among cancer patients: a mixed methods study. van Bussel MJP; Odekerken-Schröder GJ; Ou C; Swart RR; Jacobs MJG BMC Health Serv Res; 2022 Jul; 22(1):890. PubMed ID: 35804356 [TBL] [Abstract][Full Text] [Related]
11. Factors Predicting Intentions of Adoption and Continued Use of Artificial Intelligence Chatbots for Mental Health: Examining the Role of UTAUT Model, Stigma, Privacy Concerns, and Artificial Intelligence Hesitancy. Li L; Peng W; Rheu MMJ Telemed J E Health; 2024 Mar; 30(3):722-730. PubMed ID: 37756224 [No Abstract] [Full Text] [Related]
12. Wearable Technology Acceptance in Health Care Based on National Culture Differences: Cross-Country Analysis Between Chinese and Swiss Consumers. Yang Meier D; Barthelmess P; Sun W; Liberatore F J Med Internet Res; 2020 Oct; 22(10):e18801. PubMed ID: 33090108 [TBL] [Abstract][Full Text] [Related]
13. Perceptions of Canadian radiation oncologists, radiation physicists, radiation therapists and radiation trainees about the impact of artificial intelligence in radiation oncology - national survey. Wong K; Gallant F; Szumacher E J Med Imaging Radiat Sci; 2021 Mar; 52(1):44-48. PubMed ID: 33323332 [TBL] [Abstract][Full Text] [Related]
14. Attitudes and perceptions of Chinese oncologists towards artificial intelligence in healthcare: a cross-sectional survey. Li M; Xiong X; Xu B Front Digit Health; 2024; 6():1371302. PubMed ID: 39290363 [TBL] [Abstract][Full Text] [Related]
15. Theory of trust and acceptance of artificial intelligence technology (TrAAIT): An instrument to assess clinician trust and acceptance of artificial intelligence. Stevens AF; Stetson P J Biomed Inform; 2023 Dec; 148():104550. PubMed ID: 37981107 [TBL] [Abstract][Full Text] [Related]
16. Understanding consumer acceptance of healthcare wearable devices: An integrated model of UTAUT and TTF. Wang H; Tao D; Yu N; Qu X Int J Med Inform; 2020 Jul; 139():104156. PubMed ID: 32387819 [TBL] [Abstract][Full Text] [Related]
18. The Acceptance Behavior of Smart Home Health Care Services in South Korea: An Integrated Model of UTAUT and TTF. Kang HJ; Han J; Kwon GH Int J Environ Res Public Health; 2022 Oct; 19(20):. PubMed ID: 36293859 [TBL] [Abstract][Full Text] [Related]
19. Promoting Healthcare Workers' Adoption Intention of Artificial-Intelligence-Assisted Diagnosis and Treatment: The Chain Mediation of Social Influence and Human-Computer Trust. Cheng M; Li X; Xu J Int J Environ Res Public Health; 2022 Oct; 19(20):. PubMed ID: 36293889 [TBL] [Abstract][Full Text] [Related]
20. Exploring perceptions of healthcare technologies enabled by artificial intelligence: an online, scenario-based survey. Antes AL; Burrous S; Sisk BA; Schuelke MJ; Keune JD; DuBois JM BMC Med Inform Decis Mak; 2021 Jul; 21(1):221. PubMed ID: 34284756 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]