Working on enhancing the services of the PARADIM platform, which focuses on medical image annotation, reuse, and analysis.
Developing and optimizing features for efficient management and analysis of medical images.
Integrating new tools and extensions to improve the platform's functionality and user experience.
Featured project
This research project is based on the analysis of massive data on the NOL index and other intraoperative clinical parameters used by anesthesiologists during surgery. These parameters help them make analgesic treatment decisions in a non-communicating patient under general anesthesia and in whom it is impossible to assess pain and analgesic needs by standard questionnaires performed on awake patients.
First, the objective is to interpret the values of this index in relation to the decisions made by the clinician.