Key result
AI in NCD nursing primarily supports clinical decisions and risk assessment but lacks outcome validation.
Why the study?
AI is increasingly used in chronic disease care, but its nursing-specific applications, implementation maturity, and ethical reporting remain incompletely mapped.
Systematic Review (n=43)
AI applications in nursing care for NCDs are expanding but remain concentrated in assessment-oriented and decision-support functions, with gaps in intervention implementation and ethical oversight.
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AI uses in NCD nursing need outcome validation before adoption; extends usage mapping but leaves efficacy and ethics unaddressed.
苗书英 et al. (2026) conducted a systematic review in Noncommunicable chronic diseases (n=43). Artificial intelligence (AI) applications was evaluated on AI applications in nursing care for NCDs (application contexts, nursing roles, technical characteristics, care phases, outcomes, and ethical governance). A scoping review of 43 studies found AI in NCD nursing is mainly used for clinical decision support (39.53%) and risk assessment (32.56%), with gaps in outcome validation and ethical oversight.
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