(successfully finished January 2020)
In this project, the use of state-of-the-art action recognition technology in healthcare is studied. The aim is to identify clinically relevant actions from video data. Which actions performed during a medical consultations are relevant to report? Do these consist of multiple sub-actions? How can these be recognized? These kinds of questions will be studied. Paper available on the publications page.
As a part of the bachelor program Computer Science at Utrecht University student teams...
The Care2Report system may be deployed in many different medical specializations or even...
This project's goal is to develop an application that automatically reports on veterinary...
(ongoing) The Care2Report program in its current form is tailored to human healthcare....
Medical consultations often contain information that is not exclusively related to the...
(ongoing) Triage calls often concern urgent medical problems, the caller may be in distress...
(successfully finished March 2020) In order to easily store, access and use files, two...
(successfully finished February 2020) A large corpus of test and training data is required...
(successfully finished July 2019) How are medical interactions generally structured? Can we...
(successfully finished July 2019) To improve the structure of care, medical guidelines are...
