1.5 million in funding over three years from the Fonds de recherche du Québec - Santé (FRSQ)

Thanks to $1.5 million in funding over three years from the Fonds de recherche du Quebec - Sante (FRQS), the Ecole de Technologie Superieure (ETS) will host two new research chairs on the artificial intelligence applied to the health field. Eric Granger, professor in the Department of Systems Engineering, and Rita Noumeir, professor in the Department of Electrical Engineering, will hold these two research chairs, which they will co-direct with their colleagues at the Universite de Montreal and Concordia University.

This chair program, which draws on the expertise of the two co-chairs in complementary fields, aims to train qualified personnel who will be able to work in a field combining artificial intelligence and health.

Research chair on the development and validation of clinical decision support systems using artificial intelligence

The work, which will be co-directed by Professor Rita Noumeir of ETS and Professor Philippe Jouvet of the Universite de Montreal and the CHU Sainte-Justine Research Centre, will help healthcare professionals and managers make decisions more quickly in a healthcare context.

As such, intensive care units are an ideal setting for personalized medicine research because they collect a large amount of patient data*, and this data is collected at a high frequency. In addition, this data can be linked to observations, notes, and summaries of medical procedures that are recorded in the patient's electronic record. In short, this data contains a large mass of integrated, amalgamated, and analyzed information that could improve care through the development of algorithms and methods based on artificial intelligence.

On the other hand, the diversity of formats in which this data is presented--be it through laboratory tests, physiological signals, radiological images or medical notes--and the absence of imprecision of some other data requires the development of new methods of data processing to support decision-making in healthcare.

The two co-chairs and their team will seek to address these issues. Ultimately, they plan to create a powerful algorithm that will not only allow for real-time assessment of patient status and distress but also reduce ICU readmission rates and better manage the patient flow between care units.

*This data collection will be supervised by an ethics committee and patients will be asked to consent to its use for research purposes. 

Research chair in artificial intelligence and digital health for health behavior change

How can we help people follow a treatment plan or adopt healthier habits when they use an online health service without human intervention? This is the question that Eric Granger, professor of engineering at ETS, and Simon Bacon, professor of behavioral psychology at Concordia University and researcher at the CIUSSS du Nord-de-l'Ile-de-Montreal Research Centre, will attempt to answer.

Studies have shown that a person's ambivalence--the tug-of-war between their desire to change and their reasons for not doing so--has an impact on their ability to adopt healthier behaviors. Yet, non-verbal expressions provide subtle clues to a person's ambivalence, and these are not taken into account during an online intervention because there is no human being to interpret them.

That could change thanks to the research of Professor Granger, a data scientist. The professor and his team plan to develop new AI technologies that can interpret the non-verbal language of users of these services. By detecting their ambivalence and even distress or motivation, the service would tailor its interventions to be personalized to the user's emotional state. 

Until then, a large amount of multimodal data extracted from videos must first be analyzed. Using specialized deep learning models, it will be possible to accurately assign an emotional state to a combination of data from various sources (e.g., images and sounds) that include, for example, facial expression, voice intonation, gestures, or posture. It will also be necessary to improve the performance of deep neural networks in expression recognition because although they perform well in several types of applications, they tend to degrade due to the small amount of data and the diversity of sources.

The outcome of this research will lead to interventions that will have an impact on changing health behaviors, including physical inactivity and unhealthy diet, which account for up to 80% of the risk of chronic non-communicable diseases.

"ETS is the only university to have been awarded two research chairs under this program, which initially planned to fund only one for all of Quebec. This double award demonstrates that our researchers have acquired very specific expertise in data science. Their scientific contribution will undoubtedly strengthen the international influence of this strategic pole. ETS is also about engineering for a healthier future," said Francois Gagnon, Director General of ETS.

"The funding we received will be almost entirely in the form of scholarships for students who will be able to develop their expertise in the field of artificial intelligence applied to health", said Rita Noumeir, professor-researcher ETS.