Analysis of the Current Status and Influencing Factors of Clinical Nurses' Attitudes Toward Homo Sapiens Artificial Intelligence

Abstract

<title>Abstract</title> <bold>Objective</bold> To investigate the current situation of artificial intelligence attitudes of clinical nurses in county hospitals and analyze its influencing factors, to provide a reference for promoting the application of artificial intelligence technology in the field of primary medical care. <bold>Methods</bold> A total of 449 clinical nurses from a county-level B-level hospital in Nantong City were selected from August to September 2025 by convenience sampling, and the general information questionnaire, the Attitude Scale for the Application of Artificial Intelligence Technology in Nursing, the Artificial Intelligence Literacy Scale and the Change Fatigue Scale were used to investigate the influencing factors. <bold>Results</bold> The total score of clinical nurses' attitudes toward AI was 45.17 ± 2.38, indicating a moderate level. Multiple linear regression analysis identified age, participation in AI-related training, education level, number of monthly night shifts, change fatigue, and total AI literacy score as significant determinants of AI attitudes (all P &lt; 0.05). Collectively, these factors accounted for 60.6% of the total variance in AI attitude scores. <bold>Conclusion</bold> The attitude of county clinical nurses towards artificial intelligence is affected by multiple factors, and it is recommended to improve nurses' attitude towards artificial intelligence and promote the application of artificial intelligence technology in county hospitals by strengthening artificial intelligence-related training, improving artificial intelligence literacy, optimizing scheduling management, and reducing change fatigue.

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