March 26th, 2024
from 9:00 to 12:30
The Applied Machine Learning Days in Lausanne (AMLD EPFL), taking place from 23 to 26 March, is a global platform that attracts experts and participants from over 40 countries from industry, academia and government to discuss the topics of artificial intelligence and its applications.
During the symposium possibilities and limitations of applying artificial intelligence to sleep will be presented from different perspectives.
Sleep is indeed an essential part of human life and associated disorders affect around 45% of the world's population, having a major impact on the individual's quality of life and representing a major public health problem.
Measuring sleep quality is a key step in identifying and correctly treating sleep disorders. In the case of severe sleep disorders, the traditional method of measurement is complete nocturnal polysomnography. Mostly manually, experts analyse the recorded data to assess sleep quality and diagnose sleep disorders. Today, wearable devices allow any individual to monitor their sleep habits at home, but while hospital sleep assessments suffer from poor reliability and subjectivity, the use of wearable devices at home raises several questions about the validity of the results and the lack of medical certification.
During the talk, the key question of how artificial intelligence (AI) algorithms can help the study of sleep will be addressed. With speakers from both academia and industry, the focus will be on AI applications for clinical sleep measurements and AI applications for daily sleep assessments via wearable devices.
Further information
More details on the programme and registration can be found on the .