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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

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> One 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 m...

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Literature Corpus work
b35553f3-c45d-53b2-889f-afc0549e6424
DOI
10.1101/2025.06.27.25330413
Open publication

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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 HaitiDOI 10.1101/2025.06.27.25330413
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