Development of clinical decision support systems using artificial intelligence
Description: Intensive care services are the ideal clinical research environment for artificial intelligence because they collect a lot of clinical data and are highly computerized environments. Data includes vital signs, blood gas concentrations such as oxygen and carbon dioxide concentrations measured at regular intervals and clinical notes in which doctors and nurses record their remarks, possible observations, actions and diagnoses. Critical care patients are also monitored and assessed visually to assess, among other things, their motility, agitation and level of consciousness. All this information is gathered to assess the level of vital distress of the patient. Our objective is to help physicians make decisions based on all available data and their evolution over time. Our work allows the detection and quantification of life-threatening distress in children and the implementation of evidence-based medicine in intensive care units.
Supervisors: The postdoc fellow will be co-supervised by Prof Rita Noumeir and Dr Philippe Jouvet. The candidate will have to register at both ETS and CHU Ste-Justine.
We are looking for enthusiastic candidates with solid background in machine learning. The applicant should have a strong research record backed by a good publication record. Applicants must also have the ability to work independently, while interacting with other researchers. Excellent programming as well as excellent writing and oral communication skills are required.
Desired program of studies
Sustainable Development, the Circular Economy and Environmental Issues, Health Technologies
A scholarship is available from the Professor.
Start Date: As soon as possible.
Duration: 2 years.
Partner involved : CHU Ste-Justine.
How to apply:
Applicants should apply by submitting a Curriculum Vitae (including a list of all publications) with a motivation letter to Professor Rita Noumeir (firstname.lastname@example.org). Candidates should arrange for 1-2 letters of recommendation to be mailed directly to the same address or should provide the name of 1-2 persons that can be contacted for references.
Conformité : Des participants humains
The postdoc fellow will have to interact with engineers, computer scientists and clinical researchers, and will evolve in an environment where engineering, data sciences and medicine coexist. Therefore, the candidate will have the opportunity to develop the required communication and multidisciplinary skills in order to apply artificial intelligence methods to healthcare.