Year: 2025
Type: article
Study design: Observational Study
Abstract: AIMS: Artificial intelligence (AI) is reshaping healthcare by enhancing the quality and efficiency of patient care. Nursing students, as future healthcare providers, must be prepared to integrate AI into practice. However, limited research exists on their perceptions and readiness to use AI at King Saud University (KSU) in Saudi Arabia. This study aimed to assess the perceptions and readiness of nursing students toward the use of AI in healthcare and to identify the predictors of their readiness for medical AI. DESIGN: A descriptive, cross-sectional, correlational study was conducted among 304 nursing students selected through convenience sampling. METHODS: The General Perceptions of the Use of Artificial Intelligence Applications Scale was used to assess perceptions, while the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS) measured readiness. Data were analysed using appropriate statistical methods. RESULTS: Overall perception of AI was high (mean = 3.67, SD = 0.91), with the 'advantages of AI' scoring the highest (mean = 3.99, SD = 0.81). Readiness for medical AI was also high (mean = 3.79, SD = 0.74). Among the MAIRS-MS dimensions, ethics scored highest (mean = 3.91, SD = 0.71), followed by ability (mean = 3.86, SD = 0.71), cognition (mean = 3.72, SD = 0.76) and vision (mean = 3.69, SD = 0.78). Predictors of readiness included highest educational attainment (p = 0.007), advantages of AI (p = 0.004) and overall perceptions of AI applications. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.
Source: Nursing Open
DOI: 10.1002/nop2.70386
Institution: King Saud University
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,390
Funder: King Saud University
OpenAlex ID: W4416987179