TrauMatrix: applying AI to the care of major trauma patients
École polytechnique announced the launch of TrauMatrix, a scientific and medical research partnership aimed at developing the first decision support tools for the management of patients suffering from major trauma.
École polytechnique announced the launch of a scientific and medical research partnership with the organization Traumabase, AP-HP, CNRS, École des hautes études en sciences sociales and Capgemini Invent. Innovative from a collaborative and scientific standpoint, TrauMatrix aims at providing decision-making support to the medical community for the management of patients suffering from major trauma during the crucial first 24 hours. TrauMatrix puts artificial intelligence at the heart of trauma treatment.
Support for real-time decision-making
The goal of TrauMatrix is to develop decision support tools for anesthesiology and critical care professionals. TrauMatrix will be designed to help them in their real-time decision-making to direct major trauma patients to the appropriate care unit. It will also predict the probability of events such as hemorrhagic shock or traumatic brain injury so that treatment strategies can be adjusted accordingly. At the same time, it will be developed so as to lay out the hospital, material and human resources that would be needed to meet patient needs and increase their chances of survival and recovery without sequelae.
The project relies on Traumabase®, a regional observatory created in 2011 which has become a medical data registry on major trauma nationwide. Supported by a network of about a hundred critical care physicians and anesthesiologists, this registry now brings together a broad segment of French professionals in the major trauma sector. It serves to improve the management of patient care and facilitate prospective and interventional scientific research. The collaboration with École des hautes études en sciences sociales, CNRS and École polytechnique initiated by Dr. Tobias Gauss, Professor Catherine Paugam-Burtz and Dr. Sophie Hamada, from Beaujon and Bicêtre AP-HP university hospitals, has contributed to the launch of research on hemorrhagic shock, with the first studies underway under the impetus of Julie Josse, professor at Centre de mathématiques appliquées and at INRIA XPOP and DATAIA, and Jean-Pierre Nadal, CNRS researcher at Centre d’Analyses et de Mathématiques Sociales.
Toward prediction models
Capgemini Invent joined this partnership as an expert in data extraction and artificial intelligence through the development of prediction models and, eventually, a platform of services in collaboration with Traumabase® medical experts and scientists from École des hautes études en sciences sociales, CNRS and École polytechnique.
“The TraumaMatrix project,” explains Julie Josse, professor at Centre de mathématiques appliquées (CMAP) a joint École polytechnique / CNRS research unit) and at INRIA XPOP and DATAIA, “is at the core of scientific priorities for innovation in artificial intelligence with a focus on responding to major public health challenges. Taking into account both individual patients and trauma systems presents important challenges that give rise to developments in research on causality, model interpretation and data sharing. This project, which is sparking enormous enthusiasm among young students, is an excellent opportunity for knowledge transfer from research to teaching.”