Implementation of an AI-Based Clinical Decision Support System Predicting In-Hospital Cardiac Arrest in General Wards: A Multicenter Staggered-Implementation Study in Secondary Hospitals in Korea.

Diagnostics (Basel) · 2026 · PMC13257196 · PMID 42279550

Europe PMC DOI

hedged sentence

0.0580

closest p · 1.2× alpha

0.0580

boldest claim

The sentences

did not reach statistical significancep = 0.058so close (0.05 < p ≤ 0.1)

Among ward IHCA cases, poor neurological outcome at discharge occurred in 85 of 108 (78.7%) in the AI-SaMD group and 63 of 102 (61.8%) in the standard-care group; this difference did not reach statistical significance (aRR 1.13; 95% CI, 0.99–1.33; p = 0.058).

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