Ontology highlight
ABSTRACT: Aim
To synthesize recent research on artificial intelligence (AI) in intensive care unit (ICU) nursing from 2020 to 2025, highlight trends, and outline integration challenges.Methods
A narrative synthesis approach was used, reviewing English-language studies from PubMed, Web of Science, Scopus, and IEEE Xplore. From 4138 articles, 37 studies were included.Results
Evidence was international with strong contributions from Asia and North America. Most studies were retrospective and drew on large ICU databases such as MIMIC-III/IV and eICU. Methods were dominated by machine learning, with limited but growing deep learning. Applications clustered around early warning and risk prediction, with additional work on nursing decision support and workload or documentation suppo
SUBMITTER: Bi A
PROVIDER: S-EPMC12701216 | biostudies-literature | 2025 Jan-Dec
REPOSITORIES: biostudies-literature