Study shows potential for using AI tools to detect health care-associated infections

A new proof-of-concept study published in the American Journal of Infection Control reports that artificial intelligence (AI) technologies can accurately identify cases of health care-associated infections (HAI) even in complex clinical scenarios. The study, which highlights the need for clear and consistent language when using AI tools for this purpose, illustrates the potential for incorporating AI technology as a cost-effective component of routine infection surveillance programs.

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