Could AI Tool Identify Type 1 Diabetes Earlier in Childhood?
An artificial intelligence (AI)-based predictive tool may be able to identify type 1 diabetes in children earlier, before they are diagnosed as a result of potentially fatal diabetic ketoacidosis (DKA), suggests a new UK study. The tool was developed by Julia Townson, PhD, senior trial manager in children and young people at Cardiff University, UK, and colleagues. Her team had previously shown that children who develop type 1 diabetes have a different pattern of contact with primary care in the 6 months leading up to their diagnosis. Symptoms of type 1 diabetes include going to the toilet more and being thirsty, tired and thin, but GPs can still miss these signs.
@aparupa In a separate study of around 1.5 million children in England, they found the algorithm could identify type 1 diabetes in 75% of affected children 11 days earlier than without the tool, if it was set up as an alert at every one in 10 general practice consultations.