AUTODIDACT: Automated Video Data Annotation to Empower the ICU Cockpit Platform for Clinical Decision Support

We propose a software that uses latest computer vision models to produce useful annotations such as patient movement and interventions by staff from patient bedside video data acquired by the ICU Cockpit IT platform. This tool will improve patient health outcomes and is the “last mile” in the development of the ICU Cockpit.

Dr. Jens M. Boss, Universität Zürich, Neurosurgery and Intensive Care Medicine

Dr. Gagan Narula, Universität Zürich, Neurosurgery and Intensive Care Medicine

Prof. Dr. Thilo Stadelmann, ZHAW School of Engineering

Partner:

Universitätsspital Zürich

Laufzeit: 2022-2023

Screenshot ICU Cockpit Dashboard