WELCOME
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Our partners
Here is a list of our partners and funding organizations. All logos lead to their official website:
Projects of
our Laboratory
At CHU Ste-Justine, the laboratory for the development and validation of decision support systems for children requiring acute care is essentially financed by public funds obtained from funding organizations.
Our projects
We create and innovate in the health sector. Here are our 6 current projects:
1- Video diagnosis of children suffering from respiratory failure
This project started in 2016 and is at TRL 4 with a hardware component that includes a Kinect Azur 3D camera, a Lepton 3.5 infrared camera, a Jetson card and a calibrated support (camera synchronization, see figure opposite) and an algorithmic component for measuring tidal volume, respiratory rate and clinical signs of retraction.
2- Multimodal database in seriously ill children
Intensive care units (ICUs) care for patients in life-threatening distress but face three main obstacles to overcome: (1) delays in the detection and management of life-threatening distress, (2) delays in the implementation of good practices, (3) the lack of research tools to conduct pragmatic clinical trials integrated into ICUs.
3- Early diagnosis of Acute Respiratory Distress Syndrome in Children
Acute respiratory distress syndrome (ARDS) affects 6-10% of patients admitted to intensive care annually, is currently underdiagnosed and has a mortality rate of 18-45%. We conducted an international consensus conference on ARDS that recommended improving the number and early diagnosis
5- OptiBrain: Clinical decision support tool for severe head trauma in children
In 2003, the Brain Trauma Foundation proposed the first guidelines to guide the therapeutic approach for severe head injuries. Since then, several updates have been made to these guidelines, the most recent of which dates from 2019.
6- VIMY Multi system
The research program seeks to use artificial intelligence for casualty management in disaster situations, such as chemical, biological, radiological, nuclear and explosive attacks. Vimy is a field-deployable critical care multisystem capable of managing large numbers of casualties. It relies on an artificial intelligence capability consisting primarily of sensors, data acquisition systems, automated interactive systems and algorithms that assist in decision-making and machine learning.