TL;DR
Ethically responsible NICU AI requires secure governance, local and subgroup validation, understandable communication, active clinician oversight, defined accountability, staff and family engagement, and prospective monitoring.
Background: Artificial intelligence (AI) is increasingly used in research and scientific publishing, improving efficiency. However, it raises ethical concerns regarding scientific integrity, authorship, and originality. This study aimed to identify the main ethical challenges of AI use in research publishing and to exp...
Background/Objectives: Artificial intelligence (AI) is increasingly being applied across healthcare, but empirical evidence on its use in home-care and community nursing remains fragmented across technologies, clinical contexts, nursing roles, and stages of implementation. This scoping review aimed to map current AI ap...
This scoping review examined the ethical and regulatory issues surrounding AI-enabled SaMD across jurisdictions and across the product lifecycle, drawing together peer-reviewed literature, standards, and official guidance.
Artificial intelligence has significant potential to enhance mental health nursing by supporting early identification of symptoms, improving access to care and strengthening clinical decision-making, with stronger evidence observed in reviews evaluating AI interventions for early detection and risk prediction.
Artificial intelligence (AI) is entering the domains of medicine in which clinical decisions must be made within seconds. Software is already employed to triage patients, interpret diagnostic imaging, and generate diagnostic suggestions. The pace of technological adoption, however, exceeds the pace at which its consequ...
This scoping review mapped technologies, healthcare contexts, socio-technical dimensions, governance mechanisms, and implementation conditions of AI-enabled healthcare systems following PRISMA-ScR.
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