Introduction: Acute kidney injury (AKI) is common in hospitalised adults and children and is associated with significantly increased mortality and worse short-term and long-term outcomes. This systematic review and meta-analysis will evaluate the cost associated with AKI.
Methods And Analysis: This health economic analysis will be performed using systematic search of databases, including MEDLINE, EMBASE, CINAHL, Scopus and Cochrane Library from 2009 to the present (search completed on 27 May 2024).
Disabled people are often the anticipated users of scientific and technological products and processes advanced and enabled by artificial intelligence (AI) and machine learning (ML). Disabled people are also impacted by societal impacts of AI/ML. Many ethical issues are identified within AI/ML as fields and within individual applications of AI/ML.
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