Delirium is a common but often undiagnosed condition in intensive care unit (ICU) patients. To improve early detection, a transdisciplinary team has developed an artificial intelligence (AI) tool that analyzes facial expressions and movement data to identify behaviors linked to delirium severity. This technology aims to provide clinicians with passive, real-time feedback to support timely recognition and better-informed decisions.
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