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This is a Systematic Review study.

Advancing infection prevention and control through artificial intelligence: a scoping review of applications, barriers, and a decision-support checklist

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AI improves infection prevention and control by enhancing predictive analytics and monitoring compliance, yet challenges remain.
Among 100 studies analyzed, 75% employed machine learning, focusing on applications such as predictive analytics and hand hygiene monitoring.
Analysis includes primary studies from 2014 to 2024, revealing significant barriers such as data quality and integration issues.
Governance and data security issues require attention for successful AI adoption in diverse healthcare settings.

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Scoping review identifies barriers and supports safe implementation of AI for infection prevention and control in healthcare.

Gastaldi et al. (2025) studied this question.

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