AI model as diabetes early warning system when driving

LMU Newsroom article

Researchers from LMU Munich have developed an AI model that can detect low blood sugar levels (hypoglycemia) in people with diabetes while they are driving.

The team around our PI Stefan Feuerriegel created a model, that only uses routinely collected driving data and head/gaze motion data. The model could be used to develop a real-time warning system that could help prevent accidents caused by hypoglycemia.

«This study not only showcases the potential for AI to improve individual health outcomes but also its role in improving safety on public roads.»
(S. Feuerriegel)

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