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.
232 related articles for article (PubMed ID: 37928033)
1. "Chatting with ChatGPT": Analyzing the factors influencing users' intention to Use the Open AI's ChatGPT using the UTAUT model. Menon D; Shilpa K Heliyon; 2023 Nov; 9(11):e20962. PubMed ID: 37928033 [TBL] [Abstract][Full Text] [Related]
2. User Intentions to Use ChatGPT for Self-Diagnosis and Health-Related Purposes: Cross-sectional Survey Study. Shahsavar Y; Choudhury A JMIR Hum Factors; 2023 May; 10():e47564. PubMed ID: 37195756 [TBL] [Abstract][Full Text] [Related]
3. Exploring factors influencing the acceptance of ChatGPT in higher education: A smart education perspective. Almogren AS; Al-Rahmi WM; Dahri NA Heliyon; 2024 Jun; 10(11):e31887. PubMed ID: 38845866 [TBL] [Abstract][Full Text] [Related]
4. AI Chatbots in Chinese higher education: adoption, perception, and influence among graduate students-an integrated analysis utilizing UTAUT and ECM models. Tian W; Ge J; Zhao Y; Zheng X Front Psychol; 2024; 15():1268549. PubMed ID: 38384353 [TBL] [Abstract][Full Text] [Related]
5. The Impact of Performance Expectancy, Workload, Risk, and Satisfaction on Trust in ChatGPT: Cross-Sectional Survey Analysis. Choudhury A; Shamszare H JMIR Hum Factors; 2024 May; 11():e55399. PubMed ID: 38801658 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. Assessing AI adoption in developing country academia: A trust and privacy-augmented UTAUT framework. Rana MM; Siddiqee MS; Sakib MN; Ahamed MR Heliyon; 2024 Sep; 10(18):e37569. PubMed ID: 39315142 [TBL] [Abstract][Full Text] [Related]
8. Investigating the Impact of User Trust on the Adoption and Use of ChatGPT: Survey Analysis. Choudhury A; Shamszare H J Med Internet Res; 2023 Jun; 25():e47184. PubMed ID: 37314848 [TBL] [Abstract][Full Text] [Related]
9. Knowledge, Perceptions and Attitude of Researchers Towards Using ChatGPT in Research. Abdelhafiz AS; Ali A; Maaly AM; Ziady HH; Sultan EA; Mahgoub MA J Med Syst; 2024 Feb; 48(1):26. PubMed ID: 38411833 [TBL] [Abstract][Full Text] [Related]
10. Usability and Efficacy of Artificial Intelligence Chatbots (ChatGPT) for Health Sciences Students: Protocol for a Crossover Randomized Controlled Trial. Veras M; Dyer JO; Rooney M; Barros Silva PG; Rutherford D; Kairy D JMIR Res Protoc; 2023 Nov; 12():e51873. PubMed ID: 37999958 [TBL] [Abstract][Full Text] [Related]
11. Adoption of mobile health services using the unified theory of acceptance and use of technology model: Self-efficacy and privacy concerns. Liu Y; Lu X; Zhao G; Li C; Shi J Front Psychol; 2022; 13():944976. PubMed ID: 36033004 [TBL] [Abstract][Full Text] [Related]
12. Success of ChatGPT, an AI language model, in taking the French language version of the European Board of Ophthalmology examination: A novel approach to medical knowledge assessment. Panthier C; Gatinel D J Fr Ophtalmol; 2023 Sep; 46(7):706-711. PubMed ID: 37537126 [TBL] [Abstract][Full Text] [Related]
13. Understanding Users' Continuance Usage Behavior Towards Digital Health Information System Driven by the Digital Revolution Under COVID-19 Context: An Extended UTAUT Model. Bai B; Guo Z Psychol Res Behav Manag; 2022; 15():2831-2842. PubMed ID: 36212806 [TBL] [Abstract][Full Text] [Related]
14. Unveiling the e-Servicescape of ChatGPT: Exploring User Psychology and Engagement in AI-Powered Chatbot Experiences. Kim M Behav Sci (Basel); 2024 Jul; 14(7):. PubMed ID: 39062382 [TBL] [Abstract][Full Text] [Related]
15. The Moderating Effects of Gender and Study Discipline in the Relationship between University Students' Acceptance and Use of ChatGPT. Elshaer IA; Hasanein AM; Sobaih AEE Eur J Investig Health Psychol Educ; 2024 Jul; 14(7):1981-1995. PubMed ID: 39056647 [TBL] [Abstract][Full Text] [Related]
16. Determinants of intention with remote health management service among urban older adults: A Unified Theory of Acceptance and Use of Technology perspective. Li W; Gui J; Luo X; Yang J; Zhang T; Tang Q Front Public Health; 2023; 11():1117518. PubMed ID: 36778558 [TBL] [Abstract][Full Text] [Related]
17. Exploring factors influencing user perspective of ChatGPT as a technology that assists in healthcare decision making: A cross sectional survey study. Choudhury A; Elkefi S; Tounsi A PLoS One; 2024; 19(3):e0296151. PubMed ID: 38457373 [TBL] [Abstract][Full Text] [Related]
18. Dawn of the dialogue: AI's leap from lab to living room. Procko TT; Elvira T; Ochoa O Front Artif Intell; 2024; 7():1308156. PubMed ID: 38500671 [TBL] [Abstract][Full Text] [Related]
19. Factors influencing the adoption intention of using mobile financial service during the COVID-19 pandemic: the role of FinTech. Yan C; Siddik AB; Akter N; Dong Q Environ Sci Pollut Res Int; 2023 May; 30(22):61271-61289. PubMed ID: 34773583 [TBL] [Abstract][Full Text] [Related]
20. Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model. Hoque R; Sorwar G Int J Med Inform; 2017 May; 101():75-84. PubMed ID: 28347450 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]