Background: The belief in the evil eye is defined as the power to cause harm through ‘negative energy’ obtained through a glance. The practice of “medicine of the evil eye or sa mexina de s’ogu” by the “feminas e ominis de mexina” (healers) is so deeply rooted in the Sardinian culture that it influences health practices. Transcultural nursing, conceptualised by Madeleine Leininger, emphasises the importance of providing health care that takes into account patients’ cultural beliefs, practices and values. This study aims to explore, from the perspective of Madeleine Leininger’s transcultural nursing theory, the perception of the “feminas e ominis de mexina” practising “sa mexina de s’ogu”, in order to promote and raise awareness among health professionals of the importance of patients’ beliefs and cultures. Methods: A qualitative phenomenological study was conducted. Data were collected using semi-structured face-to-face interviews. The interviews were transcribed, read thoroughly, and analysed. Results: Fourteen healers were interviewed. Six main themes were extracted: (1) figure of the healer in its social context; (2) dynamics and methodology related to rituals; (3) effects of the Evil Eye; (4) ritual demand; (5) effectiveness of the ritual; and (6) comparison between the ancient and modern world. Conclusions: These findings suggest that healers act as central pillars in the connection between traditional medicine and religious practices. In response to the results obtained, it is essential to train healthcare personnel in transcultural nursing in order to provide care that is respectful and in harmony with the individual’s beliefs, promoting their comfort and well-being, and their health outcomes.

Background/Objectives: The advent of large language models (LLMs), like platforms such as ChatGPT, capable of generating quick and interactive answers to complex questions, opens the way for new approaches to training healthcare professionals, enabling them to acquire up-to-date and specialised information easily. In nursing, they have proven to support clinical decision making, continuing education, the development of care plans and the management of complex clinical cases, as well as the writing of academic reports and scientific articles. Furthermore, the ability to provide rapid access to up-to-date scientific information can improve the quality of care and promote evidence-based practice. However, their applicability in clinical practice requires thorough evaluation. This study evaluated the accuracy, completeness and safety of the responses generated by ChatGPT-4 on pressure injuries (PIs) in infants. Methods: In January 2025, we analysed the responses generated by ChatGPT-4 to 60 queries, subdivided into 12 main topics, on PIs in infants. The questions were developed, through consultation of authoritative documents, based on their relevance to nursing care and clinical potential. A panel of five experts, using a 5-point Likert scale, assessed the accuracy, completeness and safety of the answers generated by ChatGPT. Results: Overall, over 90% of the responses generated by ChatGPT-4o received relatively high ratings for the three criteria assessed with the most frequent value of 4. However, when analysing the 12 topics individually, we observed that Medical Device Management and Technological Innovation were the topics with the lowest accuracy scores. At the same time, Scientific Evidence and Technological Innovation had the lowest completeness scores. No answers for the three criteria analysed were rated as completely incorrect. Conclusions: ChatGPT-4 has shown a good level of accuracy, completeness and safety in addressing questions about pressure injuries in infants. However, ongoing updates and integration of high-quality scientific sources are essential for ensuring its reliability as a clinical decision-support tool.