AUTODIDACT
Automated annotation of video files to support clinical decision making on the ICU cockpit platform
Description: The development of a robust and efficient method of recognizing video objects in the intensive care unit makes it possible, for example, to recognize the intensity of care at individual beds. This could allow improved deployment planning of nursing staff and thus specifically avoid overloading them.
Funding: DIZH