Home  | News

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 News

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.»


Stefan Feuerriegel

MCML PI

#research #feuerriegel
Subscribe to RSS News feed

Related

Link to From Sitting Dog to Standing: A New Way to Morph 3D Shapes

11.12.2025

From Sitting Dog to Standing: A New Way to Morph 3D Shapes

ICLR 2025 work by Lu Sang and Daniel Cremers in collaboration with U Bonn enables smooth, physics-aware 3D shape deformation from point clouds.

Link to Tom Sterkenburg Wins Karl-Heinz Hoffmann Prize of the Bavarian Academy of Sciences

08.12.2025

Tom Sterkenburg Wins Karl-Heinz Hoffmann Prize of the Bavarian Academy of Sciences

MCML JRG Leader Tom Sterkenburg receives the Karl-Heinz Hoffmann Prize of the BAdW for his interdisciplinary research.

Link to World’s First Complete 3D Model of All Buildings Released

04.12.2025

World’s First Complete 3D Model of All Buildings Released

Xiaoxiang Zhu’s team releases GlobalBuildingAtlas, a high-res 3D map of 2.75B buildings for advanced urban and climate analysis.

Link to When to Say "I’m Not Sure": Making Language Models More Self-Aware

04.12.2025

When to Say "I’m Not Sure": Making Language Models More Self-Aware

ICLR 2025 research by the groups of David Rügamer, and Bernd Bischl introduces methods to make LLMs more reliable by expressing uncertainty.

Link to Research Stay at Princeton University

01.12.2025

Research Stay at Princeton University

Abdurahman Maarouf spent three months at Princeton with the AI X-Change Program, advancing causal ML and studying short-form video platform effects.

Back to Top