CDSS

Welcome to the AI Cluster Acute Care for Children

Access to the new charter of the CDSS group

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

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CDSS

Our Projects

Our Team

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