Artificial intelligence for the evaluation of profiles, trajectories and management of vulnerability in health: COVID-19, frailty of the elderly and cancer
CoRea
Optimization of ventilation of covid patients in intensive care
In preparation
02/03/2021
-
02/03/2024
Main objectives
François Marin/AP-HP
Challenge
In the severe form, COVID 19 patients have very severe lung damage that prevents the blood passing through the lung from being properly oxygenated. This very low oxygen concentration resulting from the lung damage leads to essential organ failure and sometimes death
Methodology/Technology used
The research focuses on the study of gas exchange from data recorded during the monitoring of patients in intensive care during artificial ventilation. These anonymous data are then integrated into mathematical models which calculate the best settings to obtain the best oxygenation and especially the adequacy between blood circulation and pulmonary ventilation. The results of these models should allow progress in the management of this type of patients who present severe respiratory distress.
Contacts
Céline Grandmont () & Fabrice Vallée () & Etienne Gayat ()
Members
AP-HP, Inria (COMMEDIA)
Other projects
Description
Learning a deep representation of patient records for event prediction and patient segmentation
Names of partners involved
AP-HP, Inria