09.02.2024
©LMU
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
Related
©TUM
17.12.2024
Daniel Rückert Advances Stroke Diagnosis With AI Innovation
Under Daniel Rückert’s leadership, AI now accurately determines stroke timing, enabling better treatment decisions and improved patient outcomes.
©MCML
16.12.2024
The MCML Outreach Programs in 2024
From school workshops to public events, MCML's 2024 outreach programs brought AI and machine learning closer to students, teachers, and the public.
11.12.2024
Understanding Vision Loss and the Need for Early Treatment
Researcher in focus: Jesse Grootjen is writing his doctoral thesis at LMU, focusing on enhancing human abilities through digital technologies.
©peopleimages- stock.adobe.com
10.12.2024
MCML Featured in Bildung+ Schule Digital Magazine
MCML partners in the KITrans project, featured in Bildung+ Schule Digital, bringing interactive AI education to classrooms.
©TUM
09.12.2024
MCML Director Daniel Cremers on AI's Role in Improving Lives
MCML Director Daniel Cremers discusses how AI simplifies daily life, tackles ethical challenges, and shapes the future with innovative research.