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Artificial intelligence is reshaping clinical decision support in nursing. This article outlines how targeted AI training protects clinical judgment, improves workflow efficiency, and strengthens patient safety as CDS adoption accelerates.

ECRI has named uncontrolled clinical AI the top patient safety hazard for 2025. This article explains why unchecked algorithms pose real risks at the bedside and what nurses must demand to protect patients, equity, and clinical judgment.

Christmas Eve in the ICU: when AI says 'escalate' and clinical experience says 'wait'. Every day, experienced nurses face moments where algorithms conflict with judgment. These moments of overlap reveal the true nature of human-AI collaboration and why getting them right matters for patient safety during the holidays.

Clinical AI rarely fails with alarms. It fails quietly. Small algorithmic shifts inside routine workflows move risk to the bedside, where nurses detect system drift long before leadership or governance teams notice. This article explains how hidden AI errors reshape clinical decision-making and why nurse vigilance remains the final safety net.