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AI predicts pediatric sepsis up to 48 hours early, enabling timely intervention.
Artificial intelligence can now predict sepsis in children up to 48 hours before symptoms appear, according to a study published in JAMA Pediatrics.
Researchers analyzed routine electronic health record data from the first four hours of emergency department visits across five health systems, identifying children at high risk before organ failure occurs.
The AI models, validated using the new Phoenix Sepsis Criteria, showed strong accuracy in distinguishing at-risk patients from low-risk ones, reducing the chance of unnecessary treatments.
The technology, developed by Northwestern University and Lurie Children's Hospital, represents a major step toward early, life-saving interventions and precision medicine in pediatric sepsis, a leading cause of child mortality worldwide.
La IA predice la sepsis pediátrica hasta 48 horas antes, permitiendo una intervención oportuna.