Although the UK is a multicultural society, racially minoritised populations are often under-represented in healthcare research owing to the significant barriers to participation they experience.1 Under-representation of racially minoritised groups in research impacts the quality of evidence and applicability of findings to these groups. This, in part, explains why these communities are more likely to report poorer health and poorer experiences of using healthcare services than their White counterparts,2 given that their cultural and spiritual preferences are often ignored.3 This commentary will explore some of the persistent multifaceted barriers and the role of research ethics committees (RECs) in enabling inclusive healthcare research among racially minoritised communities, given their key responsibility in building public confidence, ensuring ethical conduct and safeguarding research participants. In addition, patient and public involvement and engagement (PPIE) can complement the roles of RECs in embracing diversity in healthcare...

Artificial intelligence (AI), defined as the simulation of human intelligence in machines designed to replicate human cognitive processes, is becoming increasingly prevalent in nursing practice and research. Recent reviews have examined the application of AI across various nursing domains, highlighting its role in clinical decision support, administrative efficiency and educational advancements.1 2

AI techniques, including machine learning and natural language processing, are being employed to address a range of clinical, managerial and educational challenges in nursing.2–4 These advancements have demonstrated potential in improving patient monitoring, optimising workload distribution and supporting clinical decision-making.2 5 However, despite AI’s increasing presence in nursing practice, a structured framework guiding its integration remains non-existent.

Machine learning, a core component of AI, is instrumental in various nursing applications. It enables pattern recognition and predictive analysis through the examination of...