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Development of an AI-enabled predictive model to identify the 'sick child' at a pediatric telemedicine and medication delivery service in Haiti
2025-06-28
pediatrics
Title + abstract only
View on medRxiv
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BackgroundOne of the most difficult challenges in pediatric telemedicine is to accurately discriminate between the sick and not sick child, especially in resource-limited settings. Models that flag potentially sick cases for additional safety checks represent an opportunity for telemedicine to reach its potential. However, there are critical knowledge gaps on how to develop such models and integrate them into electronic clinical decision support (eCDS) tools. MethodsTo address this challenge...
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