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      The association of artificial intelligence ethical awareness, attitudes, anxiety, and intention-to-use artificial intelligence technology among nursing students

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          Abstract

          Background

          As artificial intelligence (AI) continues to permeate various sectors including healthcare, understanding its impact on nursing students’ attitudes and intentions to use is crucial. To examine the association of AI ethical awareness, attitudes, anxiety, and intention-to-use AI technology among Jordanian nursing students.

          Method

          A descriptive, cross-sectional design was used. The study was conducted in three private universities in Jordan, utilizing a convenience sampling technique; data were collected from a sample of 140 nursing students between January and March 2024.

          Results

          Results showed moderate levels of AI ethical awareness, attitudes toward AI technology, anxiety to use AI, and intention-to-use AI technology among Jordanian nursing students. There are no significant differences found in the levels of AI ethical awareness, attitudes toward AI technology, anxiety to use AI, and intention-to-use AI based on gender and study year ( p < 0.01). Intention-to-use AI had a significant positive relationship with AI ethical awareness ( r = 0.521, p < 0.001), students’ attitudes toward AI (0.558, p < 0.001), and anxiety to use AI ( r = 0.407, p < 0.001).

          Conclusion

          The need to keep pace with technological developments is urgent and crucial, especially in nursing educational institutions. The findings shed important light on the levels of behavioral intention toward AI, as well as on variables such as ethical awareness, attitudes, and anxiety about AI, and the effect of demographics on participants’ attitudes, anxiety, and intentions to use AI technology.

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          Most cited references46

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          The rise of artificial intelligence in healthcare applications

          Big data and machine learning are having an impact on most aspects of modern life, from entertainment, commerce, and healthcare. Netflix knows which films and series people prefer to watch, Amazon knows which items people like to buy when and where, and Google knows which symptoms and conditions people are searching for. All this data can be used for very detailed personal profiling, which may be of great value for behavioral understanding and targeting but also has potential for predicting healthcare trends. There is great optimism that the application of artificial intelligence (AI) can provide substantial improvements in all areas of healthcare from diagnostics to treatment. It is generally believed that AI tools will facilitate and enhance human work and not replace the work of physicians and other healthcare staff as such. AI is ready to support healthcare personnel with a variety of tasks from administrative workflow to clinical documentation and patient outreach as well as specialized support such as in image analysis, medical device automation, and patient monitoring. In this chapter, some of the major applications of AI in healthcare will be discussed covering both the applications that are directly associated with healthcare and those in the healthcare value chain such as drug development and ambient assisted living.
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            Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning

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              Influence of Artificial Intelligence on Canadian Medical Students' Preference for Radiology Specialty: ANational Survey Study

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                Author and article information

                Journal
                Digit Health
                Digit Health
                DHJ
                spdhj
                Digital Health
                SAGE Publications (Sage UK: London, England )
                2055-2076
                19 December 2024
                Jan-Dec 2024
                : 10
                : 20552076241301958
                Affiliations
                [1 ]Faculty of Nursing, Ringgold 74476, universityZarqa University; , Zarqa, Jordan
                [2 ]Community and Mental Health Nursing Department, Faculty of Nursing, Ringgold 74476, universityZarqa University; , Zarqa, Jordan
                [3 ]Clinical Nursing Department, Faculty of Nursing, Ringgold 74476, universityZarqa University; , Zarqa, Jordan
                [4 ]Nursing Department, Ringgold 175161, universityRiyadh Elm University; , Riyadh, Saudi Arabia
                [5 ]Department of Maternity and Pediatric Nursing, College of Nursing, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
                [6 ]Department of Nursing Management and Education, College of Nursing, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
                Author notes
                [*]Islam Ali Oweidat, Community and Mental, Health Nursing Department, Faculty of Nursing, Zarqa University, Zarqa, Jordan. Email: ioweidat@ 123456zu.edu.jo
                Author information
                https://orcid.org/0000-0001-9727-7804
                Article
                10.1177_20552076241301958
                10.1177/20552076241301958
                11660361
                39711746
                1510e82e-c1f0-453b-b66e-e98feab2e645
                © The Author(s) 2024

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 10 July 2024
                : 5 November 2024
                Funding
                Funded by: Princess Nourah Bint Abdulrahman University, FundRef https://doi.org/10.13039/501100004242;
                Award ID: PNURSP2024R444
                Categories
                Original Research Article
                Custom metadata
                ts19
                January-December 2024

                artificial intelligence,ethical awareness,anxiety,attitude,intention,nursing students

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