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- Commentary on: nurses’ perceptions of artificial intelligence (AI) integration into practice: an integrative reviewPublication . Xavier, Tânia; Oliveira, CláudiaWe are writing this letter to congratulate you on the paper ‘Nurses’ perceptions of artificial intelligence (AI) integration into practice: An integrative review’ by Lora and Foran, recently published in your journal. In this paper the authors synthesise remarkable, valuable and challenging aspects of the new era of artificial intelligence (AI) in the clinical practice of nursing. AI has been introduced into the most diverse areas of knowledge, opening a vast range of possibilities. This integrative review makes a timely and relevant contribution to the growing body of literature on the intersection between nursing and AI. The authors show that the practice of nursing, especially in the perioperative environment, is no exception.
- Large language models in nursing education: a step forward for wound care teachingPublication . Encarnação, Rúben Miguel Câmara; Figueiredo, Amélia Simões; Alves, Paulo Jorge Pereira
- Nurses bridging silence on sexual health in cardiac care: a commentary on Piegza et al (2025) “Sexual and cardiovascular health: factors influencing on the quality of sexual life of coronary heart disease patients - a narrative review” [Letter]Publication . Teixeira, Sílvia; Delgado, Bruno; Alves, Paulo
- The persistent burden of rheumatic heart disease in AfricaPublication . Ferreira, Hilaryano da Silva; Morais, Humberto
- A reflection on the use of youtube as a safe sleep promotion resourcePublication . Dias, Ana Patrícia; Loureiro, Fernanda
- Technical comment on Horton, E K.J., Schermerhorn, N., & Hanel, P H P. (2025). The impact of toxic masculinity on restrictive emotionality and mental health seeking supportPublication . Jonason, Peter; Gruda, DritjonHorton, Schermerhorn, and Hanel (2025) purport to demonstrate the impact of “toxic masculinity” on men’s mental health help-seeking. While we applaud efforts to understand mens health, this comment argues that conceptual flaws, psychometric redundancy, and statistical errors fundamentally compromise the two studies presented in this paper. We highlight the reliance on outdated “hydraulic models”, the circularity of predictor-criterion relationships (i.e., tautology), and the misapplication of mediation analyses where no primary association exists. Furthermore, we critique the unjustified causal language in a cross-sectional design and the potential for Type I errors given the analysis's exploratory nature. We conclude that the paper relies on sensationalist terminology rather than rigorous theory-testing.