Using AI to help first responders assess skin burns

The broad goal of this project is to create and implement a system which is able of assessing and classifying skin
burns (and other types of skin lesions/wounds) using different state-of-the-art machine learning models and
techniques such as EfficientNets, Reinforcement learning, saliency mappers, CAM, etc… The work that will be
completed during this internship will help first responders to better assess the severity of skin burns. In turns, this will allow for a better management of the patients and, therefore, a more efficient treatment of their burns. Of
course, the insight that will be gathered may also help concretizing similar tools for other skin lesions or wounds.

Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Skinopathy Inc.

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

Université de Montréal

Program: