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Mount Sinai's AI predicts nutrition risks in ICU patients early, aiding timely interventions.
A new AI model developed by Mount Sinai aims to identify nutrition risks in ICU patients earlier, potentially improving outcomes by enabling timely nutritional interventions.
The system analyzes patient data to predict those at risk of inadequate nutrition, a common issue in critical care that can prolong recovery.
Early results suggest the tool enhances clinical decision-making, though further validation is ongoing.
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La IA de Mount Sinai predice los riesgos nutricionales en los pacientes de la UCI temprano, ayudando a las intervenciones oportunas.