CDSS

Welcome to the AI Cluster Acute Care for Children

You still have the chance to submit your application for the M3C Congress !

The M3C International Congress will be held on May 13 and 14. We invite you to register and submit your resumes to make a presentation, using the following form: https://forms.office.com/r/XVRLLm7KC5

Registration M3C 2025

It is with great pleasure that we invite you to our second international SADC congress, titled: SADC Congress on the theme of the Child-Montreal (M3C). This event will take place on May 13-14, 2025. We look forward to seeing many of you there!

Registration

Opportunities

Rapid advances in clinical data collection systems and artificial intelligence (AI) open up prospects for the development and validation of clinical decision support informatics systems (CDSS) to improve the care and safety of patients. patients.

Definition

To this end, CDSS are applications involving a set of algorithms whose aim is to help the caregiver or manager, by analyzing and synthesizing the information. The integration of CDSS into care processes is recommended to improve the quality of care offered to patients.

Challenges

However, the design and then implementation of CDSS are complex due to the construction of the decision engine, integration and interactions with humans. In order to overcome these difficulties, we created the AI applied to acute care of children group.

Mission

Our objective is to provide a Quebec infrastructure that makes it possible to develop research in AI, support the next generation and make researchers more competitive. Ultimately, we want to facilitate collaboration, synergy and constructive partnerships at the provincial, national and international levels.

Our Projects

We create and innovate in the healthcare sector. Here are our 6 current projects:

Video Project

Video Diagnosis of Children Suffering from Respiratory Failure

Manager: Philippe Jouvet

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User interface

Early diagnosis of Childhood Acute Respiratory Distress Syndrome

Managers: Philippe Jouvet

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User Interface

OptiBrain: Clinical Decision Support Tool for Severe Head Injuries in Children

Managers: Guillaume Émeriaud

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Database

Multimodal Database in Critically ill Children

Manager: Philippe Jouvet

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User Interface

Optimization of Intensive Care Service Management

Managers: Philippe Jouvet

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Database

VIMY Multi System Database

Managers: Philippe Jouvet

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Our Team

Meet our team of researchers dedicated to the SADC Regroupement. Each member brings unique expertise to our projects, contributing to groundbreaking discoveries in various healthcare sectors.

Benjamin de Leener

Benjamin De Leener is an assistant professor in the department of computer and software engineering at Polytechnique de Montréal. He is affiliated with the CHU Sainte-Justine research center and holds a TransMedTech chair. His research interests focus on the development of new technologies in pediatric neuroimaging (tools for analyzing open-source images of the brain and spinal cord acquired by magnetic resonance).

Work

CDSS

Our Projects

Our Team

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