Artificial intelligence for the evaluation of profiles, trajectories and management of vulnerability in health: COVID-19, frailty of the elderly and cancer
AnaestAssist
Augmented hemodynamic monitoring solution coupled with an alert and decision support tool to reduce the risk of intraoperative complications
In preparation
Main objectives
AnaestAssist is an innovation project based on research results obtained by the Inria M3DISIM team and the Department of Anesthesia and Intensive Care at Lariboisière Hospital (APHP).
AnaestAssist should increase monitoring by providing relevant physiological signals that are not measured by simulation, to alert on the risk of hypotension episode and to predict the cardiovascular response in different pharmacological administration scenarios.
AnaestAssist has received early stage support from the Inria Startup Studio program, and will now seek funding to develop prototypes and validate them in clinical studies.
AnaestAssist should increase monitoring by providing relevant physiological signals that are not measured by simulation, to alert on the risk of hypotension episode and to predict the cardiovascular response in different pharmacological administration scenarios.
AnaestAssist has received early stage support from the Inria Startup Studio program, and will now seek funding to develop prototypes and validate them in clinical studies.
AnaestAssist in the operating theatre - © Inria / Photo B. Fourrier
Publications
Contacts
François Kimmig () & Fabrice Vallée ()
Members
AP-HP, Inria (M3DISIM, joint projet-team with Ecole Polytechnique)
Other projects
Description
Learning a deep representation of patient records for event prediction and patient segmentation
Names of partners involved
AP-HP, Inria