09.02.2024

Teaser image to AI model as diabetes early warning system when driving

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)

09.02.2024


Subscribe to RSS News feed

Related

Link to MCML PI Björn Schuller Featured in ARD Documentary on AI and Depression Therapy

05.08.2025

MCML PI Björn Schuller Featured in ARD Documentary on AI and Depression Therapy

MCML PI Björn Schuller discusses the use of AI as a digital therapist in ARD’s documentary “Depression - How to Get Out of It?”

Link to Stephan Günnemann featured in BR24

01.08.2025

Stephan Günnemann Featured in BR24

MCML PI Stephan Günnemann was featured in BR24 on the future of AI agents and their role in software, law, and corporate decision-making.

Link to AI research by Daniel Rückert improves medical imaging and data privacy

29.07.2025

AI Research by Daniel Rückert Improves Medical Imaging and Data Privacy

Daniel Rückert develops AI for faster medical imaging and secure data use through federated learning and privacy-preserving methods.

Link to Philipp Wicke Explores Embodied AI

23.07.2025

Philipp Wicke Explores Embodied AI

MCML Junior Member Philipp Wicke explores how embodiment shapes intelligence in a new LMU research film on the role of the body in AI.

Link to Every Household Needs a “Digital Chimney Sweep”– Insights from Johannes Kinder

26.06.2025

Every Household Needs a “Digital Chimney Sweep”– Insights From Johannes Kinder

MCML Associate Johannes Kinder highlights the security risks of smart devices in homes, emphasizing the need for regular updates and user awareness.