Scientists have designed an AI tool that uses driving behavior and head and eye movements to alert diabetics if their blood sugar levels drop while driving.
It is hoped that this new technology will improve road safety, as hypoglycemia can pose a serious danger when driving.
Scientists led by a team from LMU Munich developed the model after collecting data from 30 people with diabetes while driving.
The data included the speed of eye movements and car speed when blood sugar levels were normal and after a hypoglycemic episode with a medical professional in the car.
The team used that data to build a new machine learning (ML) model that reliably recognizes hypoglycemia symptoms.
Simon Schallmoser, one of the contributing researchers and doctoral candidate at LMU’s AI Management Institute, said: “This technology can act as an early warning system in cars, helping drivers detect hypoglycemic symptoms before they impair their ability to drive. We may be able to take the necessary precautions.” safely. ”
The model was accurate even when using only head/gaze movement data, which is important when it comes to self-driving cars.
“This study not only shows the potential of AI to improve individual health, but also its role in improving safety on public roads,” said Professor Stefan Voeriger, director of the AI Management Institute and project partner. “There is,” he said.
Read the NEJM AI research.
