Objective: This study aims to examine neonatal intensive care unit (NICU) nurses’ perceptions of artificial intelligence (AI) technologies, particularly language models, and their impact on nursing practices. Background: AI is rapidly spreading in healthcare, transforming nursing practice. Understanding the role of AI in NICUs in the discharge process is crucial for understanding nurses’ perceptions of these technologies. Methods: The qualitative, phenomenological study used semi-structured interviews. Data were collected in a public hospital in Gaziantep from January to June 2024. Fifteen NICU nurses participated. Data were analyzed using content analysis. Results: Most nurses found AI to be a valuable tool for saving time and simplifying information delivery in clinical processes. However, concerns were raised about AI potentially reducing human interaction and weakening the use of professional judgment. Serious concerns about AI’s reliability and ethical implications were also expressed. Conclusions: AI is considered a potentially supportive tool in nursing practice, but its integration must consider the ethical implications and impact on the use of professional judgment. Nursing is based on human interactions and AI should be considered an additive tool to enhance care. Implications for practice and research: AI integration in nursing requires careful and balanced implementation. Future research should delve deeper into the ethical dimensions of AI and its long-term effects on nursing practices.

Context: The integration of ChatGPT and e-health literacy, as an innovative approach to improving the accessibility and quality of healthcare services, offers the potential to strengthen access to health information and health decision-making. This integration helps individuals understand, analyze, and interpret health information more deeply while building a broad health profile. However, the potential risk of ChatGPT misdiagnosing diseases or providing inaccurate information could cause misleading guidance and prevent users from accessing information. Moreover, a ChatGPT-based system could restrict individuals' capacity to supervise and decipher their health records. Thus, while the integration of ChatGPT and e-health literacy holds promise to improve the accessibility and quality of health services, adverse aspects, such as the risk of providing misleading information and reducing user autonomy, should also be considered. Evidence Acquisition: This study provides insight into the potential, challenges, and prospects of integrating ChatGPT and e-health literacy into health services. Thus, the implication of the integration and the development of strategies for helping users better manage their health information can be explored in greater depth. Related articles on the topic were reviewed from the literature, and the results were interpreted. Results: The integration of ChatGPT with eHealth literacy harbors significant potential for substantially enhancing the accessibility and quality of health services. Using ChatGPT in health services can increase eHealth literacy, especially in health information access and health-related decision-making processes. Conclusions: In conclusion, the integration of ChatGPT and eHealth literacy carries considerable potential to improve the accessibility and quality of health services. This integration allows individuals to comprehend health data more efficiently and interpret the results more accurately.

OBJECTIVE: This study explores neonatal intensive care unit (NICU) nurses’ perceptions of artificial intelligence (AI)-assisted neonatal skin assessment, focusing on its benefits, challenges, and ethical implications. Optimizing AI integration requires understanding nurses’ attitudes. METHODS: A qualitative phenomenological approach was employed. Semi-structured interviews were conducted with 23 NICU nurses from a public hospital in Gaziantep, Turkey, between January and March 2025. Data were analyzed using inductive content analysis to identify emerging themes related to AI’s impact on clinical decision-making, workflow efficiency, and professional autonomy. RESULTS: Findings revealed that nurses acknowledged AI’s potential to enhance diagnostic accuracy, standardize assessments, and reduce interobserver variability. However, concerns were raised regarding algorithm reliability, professional autonomy, and ethical considerations. Nurses recognized AI’s potential but stressed the need for transparency, training, and safeguards against over-reliance. Participants emphasized human oversight to ensure patient-centered care. CONCLUSIONS: Artificial intelligence may improve neonatal skin assessment, but integration must balance technology and ethics. Engaging NICU nurses in AI system development and implementation is essential to fostering trust and ensuring alignment with clinical needs. Future research should assess AI’s long-term impact and support interdisciplinary tool development that complements nursing expertise.