{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T16:58:21Z","timestamp":1792688301275,"version":"4.5.0"},"reference-count":47,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T00:00:00Z","timestamp":1786492800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"\n Background<\/jats:title>\n The rapid advancement of artificial intelligence is driving an unprecedented technological transformation in nursing. However, the successful integration of these technologies depends largely on the proficiency and perspectives of registered nurses. Consequently, there is an urgent need to examine the psychological and behavioral responses of this workforce.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n A multi-center, cross-sectional survey was conducted from March to May 2026. a stratified convenience sampling method was employed to recruit 1,392 registered nurses from tertiary hospitals, secondary hospitals, and community health centers in Chongqing. Data collection instruments included a general demographic questionnaire, the Artificial Intelligence Literacy Scale, the Artificial Intelligence Anxiety Scale, and the General Attitudes Towards Artificial Intelligence Scale. Statistical analyses, including descriptive statistics, Spearman correlation, and multiple linear regression.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n A total of 1,392 registered nurses participated in the study, with a mean age of 34.69\u202f\u00b1\u202f7.13\u202fyears. AI literacy scored 5.27\u202f\u00b1\u202f0.90 (75.29% scoring rate). AI anxiety was moderate (51.29%), with the highest concerns appearing in socio-technical blindness (56.43%) and job replacement (55.14%). Overall, nurses maintained a positive attitude toward AI (74.00%). AI literacy was negatively correlated with anxiety (\n r<\/jats:italic>\n \u202f=\u202f\u22120.338,\n p\u202f&lt;<\/jats:italic>\n 0.001) and significantly positively correlated with attitude (\n r<\/jats:italic>\n \u202f=\u202f0.551,\n p<\/jats:italic>\n \u202f&lt;\u202f0.001), anxiety and attitude were negatively correlated (\n r<\/jats:italic>\n \u202f=\u202f\u22120.541,\n p<\/jats:italic>\n \u202f&lt;\u202f0.001). Regression analysis indicated that AI literacy was a significant associated factor for both anxiety levels (\n B<\/jats:italic>\n \u202f=\u202f-0.453,\n p<\/jats:italic>\n \u202f&lt;\u202f0.001) and attitudes (\n B<\/jats:italic>\n \u202f=\u202f0.377,\n p<\/jats:italic>\n \u202f&lt;\u202f0.001), explaining 9.9 and 29.4% of the variance, respectively. Additionally, a lower frequency of electronic device use (\n p<\/jats:italic>\n \u202f=\u202f0.024) and lack of proficiency in device operation (\n p<\/jats:italic>\n \u202f=\u202f0.033) were associated with higher anxiety levels, whereas male nurses demonstrated more positive attitudes compared to female nurses (\n p<\/jats:italic>\n \u202f=\u202f0.011).\n <\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n Nurses demonstrated high AI literacy and positive attitudes; however, anxiety remained prominent. Enhancing AI literacy may alleviate psychological anxiety, with device accessibility and usage patterns also playing critical roles. To facilitate the effective integration of artificial intelligence into clinical practice, administrators should strengthen institutional support mechanisms alongside providing facility resources and conventional education, thereby promoting the full utilization and translation of available resources.<\/jats:p>\n <\/jats:sec>","DOI":"10.3389\/fpubh.2026.1880523","type":"journal-article","created":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T06:00:15Z","timestamp":1786514415000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Artificial intelligence literacy, anxiety, and attitudes among registered nurses across different hospital tiers: a multi-center cross-sectional study"],"prefix":"10.3389","volume":"14","author":[{"given":"Yingqi","family":"Dai","sequence":"first","affiliation":[{"name":"The Second Affiliated Hospital of Chongqing Medical University","place":["Chongqing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xili","family":"Zhao","sequence":"additional","affiliation":[{"name":"The Second Affiliated Hospital of Chongqing Medical University","place":["Chongqing, China"]},{"name":"Acute and Critical Care Nursing Innovation and Translation Engineering Research Center of Chongqing Education Commission of China","place":["Chongqing, China"]},{"name":"Chongqing Geriatric Specialized Nursing Clinical Diagnosis and Treatment Center","place":["Chongqing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao","family":"Pan","sequence":"additional","affiliation":[{"name":"The Second Affiliated Hospital of Chongqing Medical University","place":["Chongqing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaxin","family":"Wei","sequence":"additional","affiliation":[{"name":"The Second Affiliated Hospital of Chongqing Medical University","place":["Chongqing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,8,12]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"1603","DOI":"10.2147\/JMDH.S459946","article-title":"A systematic review of the application of artificial intelligence in nursing care: where are we, and what\u2019s next?","volume":"17","author":"Ruksakulpiwat","year":"2024","journal-title":"J Multidiscip Healthc"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"104153","DOI":"10.1016\/j.ijnurstu.2021.104153","article-title":"Artificial intelligence -based technologies in nursing: A scoping literature review of the evidence","volume":"127","author":"von Gerich","year":"2022","journal-title":"Int J Nurs Stud"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1186\/s12909-023-04698-z","article-title":"Revolutionizing healthcare: the role of artificial intelligence in clinical practice","volume":"23","author":"Alowais","year":"2023","journal-title":"BMC Med Educ"},{"key":"ref4","first-page":"3","article-title":"Real-world application, challenges and implication of artificial intelligence in healthcare: an essay","volume":"43","author":"Mudgal","year":"2022","journal-title":"Pan Afr Med J"},{"key":"ref5","doi-asserted-by":"publisher","first-page":"951","DOI":"10.3390\/jpm13060951","article-title":"A review of the role of artificial intelligence in healthcare","volume":"13","author":"Al Kuwaiti","year":"2023","journal-title":"J Pers Med"},{"key":"ref6","doi-asserted-by":"publisher","first-page":"1214","DOI":"10.3390\/jpm13081214","article-title":"Advancing patient care: how artificial intelligence is transforming healthcare. 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