Evaluating the Advancement Impact of Ai Health Technologies on Nursing Students
Background: Artificial Intelligence Health Technologies (AIHTs) are rapidly transforming healthcare delivery systems worldwide. Nursing students, as future healthcare professionals, must be prepared to adapt to emerging AI-driven clinical environments. Evaluating their awareness, perceptions, readiness, and expected professional impact is essential for strengthening nursing education and practice. Objectives: This study aimed to evaluate the foresighted effects of Artificial Intelligence Health Technologies on nursing students in terms of knowledge, attitude, readiness, perceived benefits, and anticipated challenges in clinical practice. Methods: A descriptive cross-sectional study was conducted among undergraduate nursing students using a structured questionnaire. Data were collected regarding demographic variables, awareness of AIHTs, perceived usefulness, expected professional impact, and concerns regarding ethical and technical challenges. Statistical analysis included descriptive and inferential methods. Results: The study findings revealed that most nursing students demonstrated moderate awareness of AIHTs and expressed positive attitudes toward integrating AI technologies into healthcare settings. Students perceived AI as beneficial for improving patient care accuracy, reducing workload, and supporting clinical decision-making. However, concerns regarding reduced human interaction, ethical issues, and lack of technical training were also reported. Conclusion: Nursing students showed a favorable perception toward AIHTs but emphasized the need for structured training programs within nursing curricula. Integrating AI education into nursing programs will enhance preparedness for future clinical practice and promote effective utilization of AI-based healthcare systems.